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https://api.github.com/repos/myshell-ai/OpenVoice/issues/263 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/263/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/263/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/263/events | https://github.com/myshell-ai/OpenVoice/issues/263 | 2,337,010,991 | I_kwDOKzf7Ec6LS_Uv | 263 | Base model for zero shot speech generation | {
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I am currently trying to use OpenVoice for German language generation. I have not been able to figure out how this zero shot speech synthesis shall work. Is there some kind of multilanguage base model missing? When I use one of the language dependent base models things sound weird.
It would also be interesting if someone could explain how the different emotions/speech styles can be controlled. The documentation of the API could benefit from some more examples. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/262 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/262/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/262/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/262/events | https://github.com/myshell-ai/OpenVoice/pull/262 | 2,336,332,497 | PR_kwDOKzf7Ec5xk_XB | 262 | added CPU support to se_extractor.py | {
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} | [] | open | false | null | [] | null | 0 | 2024-06-05T16:18:03 | 2024-06-05T16:18:03 | null | NONE | null | implemented an if statement to check if device is cuda or cpu, if it is a GPU device use GPU for extracting, else use CPU. formerly there was no CPU extraction support by default. by doing this way we can utilize CPU power for small scale extraction without wasting GPU power
i made this fork regarding the issue#261 about the CPU implementation
issue link: https://github.com/myshell-ai/OpenVoice/issues/261
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/261 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/261/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/261/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/261/events | https://github.com/myshell-ai/OpenVoice/issues/261 | 2,335,897,469 | I_kwDOKzf7Ec6LOvd9 | 261 | CPU support for voice tone extraction | {
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} | [] | open | false | null | [] | null | 0 | 2024-06-05T13:19:59 | 2024-06-05T13:19:59 | null | NONE | null | By default OpenVoice uses CUDA for voice tone extraction which is a pain in the ass for CPU runtimes. i can modify the SRC of the se_extractor.py to use a CUDA/CPU switcher to check for drivers but again its pain in the ass to modify the internal dependency code everytime when i start a fresh new codebase. it will be good if yall can add that to the repo so that when i do a new fresh install i dont need to modify the src everytime!
thank you!
```python
model = None
def split_audio_whisper(audio_path, audio_name, target_dir='processed'):
global model
if model is None:
model = WhisperModel(model_size, device="cuda", compute_type="float16")
```
just add a model argument to the function so that we can choose cpu or gpu with different float values for ie my instance uses float32...
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/260 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/260/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/260/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/260/events | https://github.com/myshell-ai/OpenVoice/issues/260 | 2,335,348,489 | I_kwDOKzf7Ec6LMpcJ | 260 | ValueError: This CTranslate2 package was not compiled with CUDA support | {
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} | [] | open | false | null | [] | null | 1 | 2024-06-05T09:19:22 | 2024-06-05T23:09:45 | null | NONE | null | CPU： Apple M3 Max
can support. mac os m3 cpu mode
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/259 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/259/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/259/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/259/events | https://github.com/myshell-ai/OpenVoice/issues/259 | 2,335,271,004 | I_kwDOKzf7Ec6LMWhc | 259 | An error occured while synchronizing the model guillaumekln/faster-whisper-medium from the Hugging Face Hub: | {
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} | [] | open | false | null | [] | null | 0 | 2024-06-05T08:43:28 | 2024-06-05T08:43:28 | null | NONE | null | 相同的环境v1能跑通 ，换到v2就不行了
demo_part3第三个cell 报错
OpenVoice version: v2
An error occured while synchronizing the model guillaumekln/faster-whisper-medium from the Hugging Face Hub:
An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the specified revision on the local disk. Please check your internet connection and try again.
Trying to load the model directly from the local cache, if it exists.
OSError Traceback (most recent call last)
File /anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:198, in HTTPConnection._new_conn(self)
[197](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:197) try:
--> [198](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:198) sock = connection.create_connection(
[199](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:199) (self._dns_host, self.port),
[200](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:200) self.timeout,
[201](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:201) source_address=self.source_address,
[202](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:202) socket_options=self.socket_options,
[203](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:203) )
[204](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/connection.py:204) except socket.gaierror as e:
File /anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:85, in create_connection(address, timeout, source_address, socket_options)
[84](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:84) try:
---> [85](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:85) raise err
[86](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:86) finally:
[87](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:87) # Break explicitly a reference cycle
File /anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:73, in create_connection(address, timeout, source_address, socket_options)
[72](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:72) sock.bind(source_address)
---> [73](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:73) sock.connect(sa)
[74](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/urllib3/util/connection.py:74) # Break explicitly a reference cycle
OSError: [Errno 101] Network is unreachable
...
[243](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py:243) "outgoing traffic has been disabled. To enable repo look-ups and downloads online, set "
[244](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py:244) "'HF_HUB_OFFLINE=0' as environment variable."
[245](https://vscode-remote+ssh-002dremote-002b172-002e16-002e30-002e12.vscode-resource.vscode-cdn.net/anaconda3/envs/openvoice_t_wlp/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py:245) ) from api_call_erro
LocalEntryNotFoundError: Cannot find an appropriate cached snapshot folder for the specified revision on the local disk and outgoing traffic has been disabled. To enable repo look-ups and downloads online, pass 'local_files_only=False' as input.
已经把环境变量换为
$HF_ENDPOINT
https://hf-mirror.com还是不行
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/256 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/256/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/256/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/256/events | https://github.com/myshell-ai/OpenVoice/issues/256 | 2,329,447,249 | I_kwDOKzf7Ec6K2ItR | 256 | How to resovle this problem? tips："Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work" | {
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warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/255 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/255/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/255/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/255/events | https://github.com/myshell-ai/OpenVoice/issues/255 | 2,325,899,053 | I_kwDOKzf7Ec6Komct | 255 | CUDNN_STATUS_NOT_SUPPORTED | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-30T15:04:28 | 2024-05-30T15:04:28 | null | NONE | null | /root/autodl-tmp/conda/envs/openvoice/lib/python3.9/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv1d(input, weight, bias, self.stride,
Detected language:en
OpenVoice version: v1
[(0.0, 8.178), (9.326, 12.914), (13.262, 16.402), (16.654, 29.49225)]
after vad: dur = 27.743990929705216
> Text splitted to sentences.
This audio is generated by open voice with a half-performance model.
> ===========================
ðɪs ˈɑdiˌoʊ ɪz ˈdʒɛnəɹˌeɪtɪd baɪ ˈoʊpən vɔɪs wɪθ ə half-peɹfoɹmance* ˈmɑdəɫ.
length:76
length:75
/root/autodl-tmp/conda/envs/openvoice/lib/python3.9/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv1d(input, weight, bias, self.stride, | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/254 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/254/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/254/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/254/events | https://github.com/myshell-ai/OpenVoice/pull/254 | 2,324,528,689 | PR_kwDOKzf7Ec5w8y0W | 254 | Update Dockerfile | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-30T02:02:49 | 2024-06-01T19:51:01 | null | NONE | null | I've encountered an error while executing the Dockerfile.
- #177
You can view the Dockerfile here: [Dockerfile Link @StevenJSCF](https://github.com/StevenJSCF/OpenVoice/blob/11cdec7d98f37c142cebcc2fcb79bf7565f6a6ad/docs/DockerFile).
### Context:
I was trying to build the Docker image using the provided Dockerfile when I ran into the following error:
Here is a screenshot of the error:
### Changes Made:
- **Base Image**: Changed to `python:3.10-slim` for a lighter and more efficient image.
- **Support for v2 Material**: Added steps to download and set up v2 checkpoints.
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/253 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/253/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/253/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/253/events | https://github.com/myshell-ai/OpenVoice/pull/253 | 2,322,396,347 | PR_kwDOKzf7Ec5w1fjt | 253 | Main | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/252 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/252/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/252/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/252/events | https://github.com/myshell-ai/OpenVoice/issues/252 | 2,321,937,677 | I_kwDOKzf7Ec6KZfUN | 252 | What does the Tau parameter do? | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-28T21:18:25 | 2024-05-28T21:18:25 | null | NONE | null | <img width="780" alt="Screenshot 2024-05-28 at 3 17 49 PM" src="https://github.com/myshell-ai/OpenVoice/assets/67983369/77b2b708-6eaa-4607-aa91-b978e58c768e">
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} | [] | open | false | null | [] | null | 0 | 2024-05-28T09:31:10 | 2024-05-28T09:31:10 | null | NONE | null | I'm a little bit confused about what can this repo really do, the readme file says that we can clone the voice, but in issues I found that this repo can only clone the tone color of the speaker, and I don't know what is this exactly mean ? | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/250 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/250/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/250/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/250/events | https://github.com/myshell-ai/OpenVoice/pull/250 | 2,320,287,761 | PR_kwDOKzf7Ec5wuUuA | 250 | Update setup.py to support python 3.12.3 | {
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```
❯ python --version
Python 3.12.3
❯ pip show myshell-openvoice
Name: MyShell-OpenVoice
Version: 0.0.0
Summary: Instant voice cloning by MyShell.
Home-page: https://github.com/myshell-ai/OpenVoice
Author: MyShell
Author-email: ethan@myshell.ai
License: MIT License
Location: /home/waser/Projets/Say/src/.venv/lib/python3.12/site-packages
Requires: cn2an, eng-to-ipa, faster-whisper, gradio, inflect, jieba, langid, librosa, numpy, pydub, pypinyin, unidecode, wavmark, whisper-timestamped
Required-by:
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/248 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/248/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/248/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/248/events | https://github.com/myshell-ai/OpenVoice/issues/248 | 2,318,604,565 | I_kwDOKzf7Ec6KMxkV | 248 | 各个模块或模型的作用是什么？有关V2测试 | {
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1）基础语音模型在项目中是哪个呀？
2）guillaumekln/faster-whisper-medium 对应论文中的哪个部分？
3）melotts--myshell-ai-MeloTTS-xxx会在.cache\huggface\hub目录下下载模型，这些模型作用是什么，对应论文哪一部分呀？
目前，在V2版本中，我没找到节奏、停顿等的控制方法，貌似只有speed的控制参数。
对于台湾普通话的克隆，几乎无法实现，不知道是基础语音模型的问题还是其他问题（比如，给的音频质量不行），是否需要训练台湾普通话，如何训练能否提供方法，我也想给这个项目顺便贡献一下自己的力量，让他更丰富。
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} | [] | open | false | null | [] | null | 0 | 2024-05-26T05:19:52 | 2024-05-26T05:19:52 | null | NONE | null | 感觉很不错，能否添加一下台湾那边口音。
如果您没时间，能否说一下具体可行的方法步骤，我来自己操作一下。
非重重要，期待您的回复。 | {
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如何模拟说话中的停顿或者静音。 | {
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I change the device to cpu instead of cuda. Does the OpenV2 can only deployed by CPU? | {
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speed = 1.0
for language, text in texts.items(): model = TTS(language=language, device=device) speaker_ids = model.hps.data.spk2id
for speaker_key in speaker_ids.keys():
speaker_id = speaker_ids[speaker_key]
speaker_key = speaker_key.lower().replace('_', '-')
source_se = torch.load(f'checkpoints_v2/base_speakers/ses/{speaker_key}.pth', map_location=device)
model.tts_to_file(text, speaker_id, src_path, speed=speed)
save_path = f'{output_dir}/output_v2_{speaker_key}.wav'
# Run the tone color converter
encode_message = "@MyShell"
tone_color_converter.convert(
audio_src_path=src_path,
src_se=source_se,
tgt_se=target_se,
output_path=save_path,
message=encode_message)
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/238 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/238/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/238/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/238/events | https://github.com/myshell-ai/OpenVoice/issues/238 | 2,304,797,471 | I_kwDOKzf7Ec6JYGsf | 238 | finetuning for new languages | {
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Is it possible to fine tune the model to add support for new languages? Our desired use case would be, to be able to work with languages like Polish, English, Turkish and French, some of which currently seem unsupported. Thank you | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/237 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/237/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/237/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/237/events | https://github.com/myshell-ai/OpenVoice/issues/237 | 2,304,050,007 | I_kwDOKzf7Ec6JVQNX | 237 | a question about v2 | {
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**RuntimeError: Error (s) in loading state_dict for SynthesizerTrn:
Size mismatch for encp. langage_emb. weight: copying a param with shape torch Size ([10, 192]) from checkpoint, the shape in current model is torch Size ([8, 192])
Size mismatch for emb_g. weight: copying a param with shape torch Size ([256, 256]) from checkpoint, the shape in current model is torch Size ([1, 256])** | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-14T22:07:10 | 2024-05-14T22:07:10 | null | NONE | null | Conda does not (and probably never will) support a PyTorch-ROCm environment. Request a configuration script that allows the use of venv environment rather than conda. | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-13T18:51:53 | 2024-05-13T18:51:53 | null | NONE | null | Hello,
I am using your software and appreciate the functionality it offers. However, I've noticed that it currently lacks support for the Latvian language. As a user who speaks Latvian, I would greatly benefit from the inclusion of this language in your application.
Could you please consider adding support for Latvian in a future update? This would significantly enhance the user experience for Latvian-speaking users and potentially expand your user base in Latvia.
Thank you for considering this request. | {
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python3.9
OpenVoice v2
Windows 11 Pro 64 bit
GPU: Radeon RX 580 Series
CPU: AMD Ryzen 5 3600 6-Core Processor
RAM: 32 GB
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However, while I see the paper/demos showing control of emotion, and talk about precise control of pauses etc, I see no example of how to accomplish this in practice.
I see one of the examples for v1 list `speaker="whispering"` as an option, but that's not for v2, and I don't know how to get a list of the possible/valid types of styles/emotions.
Is there some documentation I'm missing?
Thanks. | {
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With the exception of the expensive Eleven Labs service, there is a lack of reliable text-to-speech in Arabic.
I would really appreciate it if you could take this into consideration.
Thank you very much! | {
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I think this is due to torch.cuda.is_available() option. I found that torch.cuda.is_available() is False on cell 2.
Am I right? If yes, should I make torch.. available() true by setting torch and cuda environment? my cuda version is 12.1.
Thanks for reading it.
| {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/226 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/226/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/226/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/226/events | https://github.com/myshell-ai/OpenVoice/issues/226 | 2,284,339,904 | I_kwDOKzf7Ec6IKELA | 226 | Male voices lisping after clone? | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-07T22:42:33 | 2024-05-07T22:42:33 | null | NONE | null | Just checking in since most people are probably cloning female voices, so I sincerely do not know if this is a known issue. I have a non-lisping male voice I am trying to replicate using OpenVoice, and it sounds okay, but he's lisping now. This is especially pronounced in 'cheerful' and 'friendly', where for lack of a better term there is an obvious 'effeminate' quality, but also evident in 'default' and all variations. I have tried different samples of varying lengths, and I should note that the sample voice demonstrably does not have a lisp. I've tried with en_newest, en-br, en-us, etc. However, all results are unsatisfactory. Are there any tips for mitigating this? Is this a known effect? Would love to use OpenVoice because it is very fast and its control over tone allows for a lot of nuance, but in this one very distinct and distracting way it seems to struggle and I'm not sure how to overcome it. | {
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} | [] | open | false | null | [] | null | 4 | 2024-05-07T21:49:22 | 2024-05-15T13:44:21 | null | NONE | null | I followed the provided instructions.
I turned the demo_part3 file into a normal python file to test the code:
```python
# Import necessary libraries
import os
import sys
import torch
from openvoice import se_extractor
from openvoice.api import ToneColorConverter
from melo.api import TTS
# Constants
ckpt_converter = 'checkpoints_v2/converter'
device = "cuda:0" if torch.cuda.is_available() else "cpu"
output_dir = 'outputs_v2'
# Create output directory if it does not exist
os.makedirs(output_dir, exist_ok=True)
# Initialize Tone Color Converter
tone_color_converter = ToneColorConverter(f'{ckpt_converter}/config.json', device=device)
tone_color_converter.load_ckpt(f'{ckpt_converter}/checkpoint.pth')
# Extract tone color embedding for the target speaker
reference_speaker = 'resources/example_reference.mp3'
target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
# Texts for various languages
texts = {
'EN_NEWEST': "Did you ever hear a folk tale about a giant turtle?",
'EN': "Did you ever hear a folk tale about a giant turtle?",
'ES': "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
'FR': "La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante.",
'ZH': "在这次vacation中，我们计划去Paris欣赏埃菲尔铁塔和卢浮宫的美景。",
'JP': "彼は毎朝ジョギングをして体を健康に保っています。",
'KR': "안녕하세요! 오늘은 날씨가 정말 좋네요.",
}
# Output path for temporary audio file
src_path = f'{output_dir}/tmp.wav'
speed = 1.0 # Speed is adjustable
print("Processing TTS...")
# Process each language and text
for language, text in texts.items():
print(f"Processing {language}...")
model = TTS(language=language, device=device)
speaker_ids = model.hps.data.spk2id
for speaker_key in speaker_ids.keys():
speaker_id = speaker_ids[speaker_key]
speaker_key = speaker_key.lower().replace('_', '-')
# Load source speaker embedding
source_se = torch.load(f'checkpoints_v2/base_speakers/ses/{speaker_key}.pth', map_location=device)
# Generate speech and save to temporary file
model.tts_to_file(text, speaker_id, src_path, speed=speed)
save_path = f'{output_dir}/output_v2_{speaker_key}.wav'
# Convert tone color
encode_message = "@MyShell"
tone_color_converter.convert(
audio_src_path=src_path,
src_se=source_se,
tgt_se=target_se,
output_path=save_path,
message=encode_message)
# Print completion message
print("TTS processing complete. Check the outputs in:", output_dir)
```
When I run it I get:
```
(openvoice) ╭─arthur at aquarelle in ~/dev/ai/OpenVoice on main✘✘✘ 24-05-07 - 23:45:23
╰─(openvoice) ⠠⠵ python tts.py on main|…8
/home/arthur/.anaconda3/envs/openvoice/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Loaded checkpoint 'checkpoints_v2/converter/checkpoint.pth'
missing/unexpected keys: [] []
OpenVoice version: v2
Could not load library libcudnn_cnn_infer.so.8. Error: /lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8: undefined symbol: _ZN5cudnn14cublasSaxpy_v2EP13cublasContextiPKfS3_iPfi, version libcudnn_ops_infer.so.8
Please make sure libcudnn_cnn_infer.so.8 is in your library path!
[1] 2253274 IOT instruction (core dumped) python tts.py
(openvoice) ╭─arthur at aquarelle in ~/dev/ai/OpenVoice on main✘✘✘ 24-05-07 - 23:45:35
╰─(openvoice) ⠠⠵
```
What am I doing wrong?
This is ubuntu 23.04, and when I ran into this error I did:
```
sudo apt install libcudnn9-static-cuda-12
sudo apt install libcudnn8 libcudnn8-dev
```
But it didn't help.
I have CUDA and everything installed, I run dozens of different CUDA/Pythorch/AI related projects on this machine including trying out most of the TTS stuff available on github.
Any help very welcome.
Thank you. | {
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NameError Traceback (most recent call last)
Cell In[11], line 36
31 # Run the tone color converter
32 encode_message = "@MyShell"
33 tone_color_converter.convert(
34 audio_src_path=src_path,
35 src_se=source_se,
---> 36 tgt_se=target_se,
37 output_path=save_path,
38 message=encode_message)
NameError: name 'target_se' is not defined | {
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} | [] | open | false | null | [] | null | 1 | 2024-05-06T07:51:14 | 2024-05-08T00:41:26 | null | NONE | null | C:\Users\Admin\anaconda3\envs\openvoice\lib\site-packages\gradio\components\dropdown.py:93: UserWarning: The `max_choices` parameter is ignored when `multiselect` is False.
warnings.warn(
Traceback (most recent call last):
File "C:\OpenVoice-main\openvoice_app.py", line 246, in <module>
ref_gr = gr.Audio(
File "C:\Users\Admin\anaconda3\envs\openvoice\lib\site-packages\gradio\component_meta.py", line 159, in wrapper
return fn(self, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'info' | {
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} | [] | open | false | null | [] | null | 1 | 2024-05-06T07:37:38 | 2024-06-05T23:38:55 | null | NONE | null | I already read the Docs page about languages, but I am not a programmer or very well versed in all this so unable to follow the instructions mentioned there. Can someone explain me in easier language how I can add base speakers of other languages? Or how I can train other language models for openvoice? | {
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I am trying out Open Voice (v1), and it mechanically worked, but the cloned voice is far from its reference speaker. Sometimes, I gave a male reference speaker mp3, and got back a female voice.
I run the code from "demo_part1.ipynb" and I only changed reference speaker's mp3.
I suspect the torch/embedding version is not compatible, and I am using:
(Speech2Rag) OpenVoice> pip show torch
Name: torch
Version: 2.1.2+cu121
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3
Location: C:\Users\Sean2092\miniconda3\Lib\site-packages
Requires: filelock, fsspec, jinja2, networkx, sympy, typing-extensions
Required-by: pytorch-lightning, torchaudio, torchmetrics, torchvision
Could someone with success and experience help out? I am sure I got something, libs or settings, incorrect, but I cannot figure out what that might be. Pls help.
Thanks a lot,
Sean | {
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/Users/ahmetkca/Projects/OpenVoice/.venv/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Loaded checkpoint 'checkpoints/converter/checkpoint.pth'
missing/unexpected keys: [] []
``` | {
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Does anyone have TTFB benchmarks under any hardware? | {
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} | [] | open | false | null | [] | null | 0 | 2024-05-05T22:59:06 | 2024-05-05T22:59:06 | null | NONE | null | https://github.com/myshell-ai/MeloTTS/issues/126 | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/216 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/216/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/216/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/216/events | https://github.com/myshell-ai/OpenVoice/issues/216 | 2,279,446,687 | I_kwDOKzf7Ec6H3Zif | 216 | Add Persian Language | {
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} | [] | open | false | null | [] | null | 9 | 2024-05-03T21:27:45 | 2024-06-06T22:23:13 | null | NONE | null | I always get a "The kernel for OpenVoice/demo_part3.ipynb appears to have died. It will restart automatically." when running the demopart3 jupyter notebook in a linux environment. This happens during the ### Obtain Tone Color Embedding cell. I have 16GB VRAM. Is this not enough for voice cloning? It would be helpful if the system hardware (and Torch version) requirements were documented. | {
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Could you add polish language in the future? There is no good TTS for polish. Please consider this.
Many thanks. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/212 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/212/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/212/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/212/events | https://github.com/myshell-ai/OpenVoice/issues/212 | 2,275,409,920 | I_kwDOKzf7Ec6HoAAA | 212 | Enthusiastic Support and Request for French Voice Model Development | {
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Your commitment to advancing the accessibility and usability of TTS technologies motivates me to bring forth a suggestion. Considering the expansive potential of your technology, I would be thrilled to see the development of a French voice model. Introducing a French variant could significantly enhance the applicability and reach of OpenVoice, catering to the vast Francophone population across the globe.
Thank you for your continuous innovation and dedication to excellence. | {
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This is not an issue request, merely a question, and I didn't find any "discussion" place, so apologies if I'm not posting in the appropriate place.
I was wondering, in your [webpage](https://research.myshell.ai/open-voice/accurate-tone-color-cloning) on tone color cloning, are the references from a known/public dataset? If there are more than one datasets, I'm curious specifically about the first reference sample.
Thank you! | {
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I am using Ubuntu 22.04, and I utilized the provided conda environment.
```
Loaded checkpoint 'checkpoints_v2/converter/checkpoint.pth'
missing/unexpected keys: [] []
OpenVoice version: v2
Segmentation fault (core dumped)
``` | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/208 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/208/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/208/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/208/events | https://github.com/myshell-ai/OpenVoice/issues/208 | 2,271,098,521 | I_kwDOKzf7Ec6HXjaZ | 208 | OpenVoice 2 Error in installation in Pinokio - process alwsy ends in Error with Warning : _pickle.UnpicklingError: invalid load key, 'v'. | {
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_pickle.UnpicklingError: invalid load key, 'v'.
the audio file is an m4a file and only 3MB in size.
the reror is said to be a storage file, which is not an issue in my case.
Openvoice2 is installed inside PINOKIO on a mac.
where could i go for help for this
thanks in advance
akos
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But in V2, melo api has no such param we can use.
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/205 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/205/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/205/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/205/events | https://github.com/myshell-ai/OpenVoice/issues/205 | 2,269,454,188 | I_kwDOKzf7Ec6HRR9s | 205 | Additional basespeaker options | {
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When I input my own file with a british accent, the basespeaker is too far away for me to get anything usable.
I don't want to go down the OpenAI route, as that's pay to play. Instead, Melo looks interesting, but the install appears to be docker only for windows, which makes it unusable.
Are there other options? Perhaps a new batch of base accents, or code for another TTS that could be used as base?
Thanks in advance. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/204 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/204/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/204/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/204/events | https://github.com/myshell-ai/OpenVoice/issues/204 | 2,269,252,448 | I_kwDOKzf7Ec6HQgtg | 204 | 2024 老牌机场推荐：老牌机场集合 | {
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} | [] | closed | false | null | [] | null | 0 | 2024-04-29T14:50:29 | 2024-04-29T14:58:55 | 2024-04-29T14:58:55 | NONE | null | 以下是10个翻墙老牌机场推荐：
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/203 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/203/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/203/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/203/events | https://github.com/myshell-ai/OpenVoice/issues/203 | 2,267,998,142 | I_kwDOKzf7Ec6HLue- | 203 | Upgrading to V2, torch version conflicts with MeloTTS | {
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} | [] | closed | false | null | [] | null | 4 | 2024-04-29T02:20:34 | 2024-04-29T15:00:41 | 2024-04-29T15:00:41 | NONE | null | OpenVoice needs torch 2.xx, but MeloTTS needs torch 1.xx .
Is that possible to upgrade the MeloTTS torch version to 2.xx ?? | {
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Cell In[18], [line 2](vscode-notebook-cell:?execution_count=18&line=2)
[1](vscode-notebook-cell:?execution_count=18&line=1) reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone
----> [2](vscode-notebook-cell:?execution_count=18&line=2) target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, target_dir='processed', vad=True)
File [d:\Apps\AUDIOBOOK\OpenVoice\openvoice\se_extractor.py:144](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:144), in get_se(audio_path, vc_model, target_dir, vad)
[137](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:137) # if os.path.isfile(se_path):
[138](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:138) # se = torch.load(se_path).to(device)
[139](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:139) # return se, audio_name
[140](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:140) # if os.path.isdir(audio_path):
[141](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:141) # wavs_folder = audio_path
[143](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:143) if vad:
--> [144](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:144) wavs_folder = split_audio_vad(audio_path, target_dir=target_dir, audio_name=audio_name)
[145](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:145) else:
[146](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:146) wavs_folder = split_audio_whisper(audio_path, target_dir=target_dir, audio_name=audio_name)
File [d:\Apps\AUDIOBOOK\OpenVoice\openvoice\se_extractor.py:79](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:79), in split_audio_vad(audio_path, audio_name, target_dir, split_seconds)
[77](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:77) def split_audio_vad(audio_path, audio_name, target_dir, split_seconds=10.0):
[78](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:78) SAMPLE_RATE = 16000
---> [79](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:79) audio_vad = get_audio_tensor(audio_path)
[80](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:80) segments = get_vad_segments(
[81](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:81) audio_vad,
[82](file:///D:/Apps/AUDIOBOOK/OpenVoice/openvoice/se_extractor.py:82) output_sample=True,
(...)
...
[1553](https://file+.vscode-resource.vscode-cdn.net/d%3A/Apps/AUDIOBOOK/OpenVoice/~/AppData/Local/Programs/Python/Python312/Lib/subprocess.py:1553) self._close_pipe_fds(p2cread, p2cwrite,
[1554](https://file+.vscode-resource.vscode-cdn.net/d%3A/Apps/AUDIOBOOK/OpenVoice/~/AppData/Local/Programs/Python/Python312/Lib/subprocess.py:1554) c2pread, c2pwrite,
[1555](https://file+.vscode-resource.vscode-cdn.net/d%3A/Apps/AUDIOBOOK/OpenVoice/~/AppData/Local/Programs/Python/Python312/Lib/subprocess.py:1555) errread, errwrite)
FileNotFoundError: [WinError 2] The system cannot find the file specified | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/201 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/201/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/201/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/201/events | https://github.com/myshell-ai/OpenVoice/issues/201 | 2,267,536,382 | I_kwDOKzf7Ec6HJ9v- | 201 | Styles and pauses in spanish | {
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} | [] | open | false | null | [] | null | 0 | 2024-04-28T12:23:01 | 2024-04-28T12:23:01 | null | NONE | null | Is it possible to train a model for es_style_se.pth? Is anyone currently working on training voice styles in Spanish?
Breathing sounds and pauses are natural aspects of human speech. Including them in synthesized speech can make the voice sound less robotic and more fluid, enhancing the listener's experience. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/200 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/200/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/200/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/200/events | https://github.com/myshell-ai/OpenVoice/pull/200 | 2,267,487,171 | PR_kwDOKzf7Ec5t7lvX | 200 | Fix audio model initialization in se_extractor.py with cpu support | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/199 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/199/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/199/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/199/events | https://github.com/myshell-ai/OpenVoice/issues/199 | 2,267,471,207 | I_kwDOKzf7Ec6HJt1n | 199 | Source tone color embeddings in checkpoints v2 are missing | {
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} | [] | closed | false | null | [] | null | 0 | 2024-04-28T10:14:25 | 2024-04-29T15:02:05 | 2024-04-29T15:02:05 | NONE | null | `checkpoints_v2/base_speakers/ses` not exists in `checkpoints_v2_0417.zip` | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/198 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/198/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/198/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/198/events | https://github.com/myshell-ai/OpenVoice/issues/198 | 2,267,441,402 | I_kwDOKzf7Ec6HJmj6 | 198 | Font Name in openvoice.mp4 | {
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} | [] | closed | false | null | [] | null | 0 | 2024-04-28T09:01:15 | 2024-04-29T15:02:17 | 2024-04-29T15:02:17 | NONE | null | Could you please tell me the font name in the video openvoice.mp4? Thanks! | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/197 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/197/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/197/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/197/events | https://github.com/myshell-ai/OpenVoice/issues/197 | 2,267,399,379 | I_kwDOKzf7Ec6HJcTT | 197 | Colaboration for TTS and more languages :) | {
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} | [] | open | false | null | [] | null | 1 | 2024-04-28T07:13:55 | 2024-04-29T15:22:04 | null | NONE | null | Hi, I am one of the founders of LAION ( https://laion.ai ) - Open Voice is pretty cool and I wanted to get in touch for cooperating on emotional TTS and also training more versions in other languages.
Who should I talk to? :) | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/196 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/196/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/196/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/196/events | https://github.com/myshell-ai/OpenVoice/pull/196 | 2,267,359,042 | PR_kwDOKzf7Ec5t7L5g | 196 | Update QA.md | {
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} | [] | open | false | null | [] | null | 3 | 2024-04-28T05:48:43 | 2024-04-30T15:15:06 | null | NONE | null | typos | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/195 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/195/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/195/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/195/events | https://github.com/myshell-ai/OpenVoice/issues/195 | 2,267,110,636 | I_kwDOKzf7Ec6HIVzs | 195 | There is issue with generation | {
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As you can see there is no such path available in check point folder as per your demo_par3. could you please double check | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/193 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/193/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/193/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/193/events | https://github.com/myshell-ai/OpenVoice/pull/193 | 2,267,068,233 | PR_kwDOKzf7Ec5t6Qnz | 193 | Fix setup.py packages | {
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} | [] | closed | false | null | [] | null | 0 | 2024-04-27T15:43:51 | 2024-04-28T03:07:29 | 2024-04-28T03:07:29 | CONTRIBUTOR | null | This let you find packages like `openvoice.text` and make openvoice installable with pip
| {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/192 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/192/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/192/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/192/events | https://github.com/myshell-ai/OpenVoice/issues/192 | 2,267,057,567 | I_kwDOKzf7Ec6HII2f | 192 | Config.js parameters | {
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} | [] | open | false | null | [] | null | 0 | 2024-04-27T15:14:42 | 2024-04-27T15:14:42 | null | NONE | null | Hello, first of all i'd like to thank you for your great work.
My question: Is there any kind of documentation of the settings in config.js and how they do relate?
For example, if I want my output to be 48kHz, the resulting wave file is heavily compromised. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/191 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/191/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/191/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/191/events | https://github.com/myshell-ai/OpenVoice/issues/191 | 2,267,049,389 | I_kwDOKzf7Ec6HIG2t | 191 | How to control emotions? | {
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} | [] | open | false | null | [] | null | 2 | 2024-04-27T14:53:23 | 2024-04-29T15:08:19 | null | NONE | null | First of all great work. Where many companies launch the stuff as close source. You guys are true example of open source contribution towards better AI.
Secondly I had a question... How to control emotions? Like in demo there is no parameter to specify happy sad, etc etc | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/190 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/190/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/190/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/190/events | https://github.com/myshell-ai/OpenVoice/issues/190 | 2,266,700,337 | I_kwDOKzf7Ec6HGxox | 190 | [Fix] Missing libcudnn_ops_infer.so.8 (Linux), cudnn_ops_infer64_8.dll (Windows), etc. | {
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} | [] | open | false | null | [] | null | 0 | 2024-04-27T01:34:21 | 2024-04-27T01:35:52 | null | NONE | null | I am creating this issue for visibility.
I've seen multiple people struggle with this, myself included.
Since I've found the solution, I added instructions on how to solve this problem in PR #183 .
I also streamlined the readme file a bit.
Should I close this issue myself as resolved or would it be more visible to others if the maintainer closes it? | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/189 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/189/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/189/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/189/events | https://github.com/myshell-ai/OpenVoice/issues/189 | 2,266,661,368 | I_kwDOKzf7Ec6HGoH4 | 189 | Longform Synthesis | {
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} | [] | open | false | null | [] | null | 1 | 2024-04-27T00:55:13 | 2024-04-29T15:04:24 | null | NONE | null | Hi,
Congratulations on the OpenVoice V2 launch! Are there any plans to support long-form synthesis? Currently, the only way to do it is to split the text, however it would be nice if each segment had the previous segments as a reference to make generation more natural.
Thank you! | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/188 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/188/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/188/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/188/events | https://github.com/myshell-ai/OpenVoice/issues/188 | 2,266,334,943 | I_kwDOKzf7Ec6HFYbf | 188 | Windows + python3.9 + OpenVoice v2 = not possible without CUDA? | {
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} | [] | open | false | null | [] | null | 4 | 2024-04-26T18:52:02 | 2024-04-28T20:43:30 | null | NONE | null | Hi,
I followed the windows installation guide, and tried both on latest python 3.12 and 3.9.12 (per recommendation from the guide for python to be 3.9).
When I attempt to run the v2 example from `demo_part3.ipynb`, I am getting error originating from the following line:
`target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)`
This is the error:
```
Traceback (most recent call last):
File "C:\Users\user\Source\VoiceCloningTests\OpenVoice\demov2_.py", line 23, in <module>
target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
File "C:\Users\user\Source\VoiceCloningTests\OpenVoice\openvoice\se_extractor.py", line 146, in get_se
wavs_folder = split_audio_whisper(audio_path, target_dir=target_dir, audio_name=audio_name)
File "C:\Users\user\Source\VoiceCloningTests\OpenVoice\openvoice\se_extractor.py", line 22, in split_audio_whisper
model = WhisperModel(model_size, device="cuda", compute_type="float16")
File "C:\Users\user\Source\VoiceCloningTests\OpenVoice\env39\lib\site-packages\faster_whisper\transcribe.py", line 128, in __init__
self.model = ctranslate2.models.Whisper(
RuntimeError: CUDA failed with error CUDA driver version is insufficient for CUDA runtime version
```
In the beginning of my script - I follow the demo and setup my `device` variable in the same way to fallback to `cpu`. When I open the `se_extractor.py` file from the error above, I see that a device is hardcoded to be CUDA. And I end up with the error above.
My device is using integrated graphics from Intel, so afaik it is not even CUDA-enabled. Does this mean I cannot run OpenVoice v2, without NVidia graphics?
This is [the code from the library - se_extractor.py -](https://github.com/myshell-ai/OpenVoice/blob/ce65d67b321dd9bc134d2d08dd7fa6b7e3e8b2c1/openvoice/se_extractor.py#L22) with hardcoded cuda string, that raises the issue:
```python
def split_audio_whisper(audio_path, audio_name, target_dir='processed'):
global model
if model is None:
model = WhisperModel(model_size, device="cuda", compute_type="float16")
# ...
``` | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/187 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/187/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/187/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/187/events | https://github.com/myshell-ai/OpenVoice/issues/187 | 2,266,315,795 | I_kwDOKzf7Ec6HFTwT | 187 | How to run TTS on OpenVoice V2? Missing config.json | {
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} | [] | open | false | null | [] | null | 1 | 2024-04-26T18:38:03 | 2024-05-07T21:23:03 | null | NONE | null | I've been following the Linux installation guide up until the step of installing unidic. The process completed without any errors. However, when I attempted to build a basic TTS feature using the V2 models, I noticed that the BaseSpeakerTTS class inherits from OpenVoiceBaseClass which expects a config_path argument. Yet, there doesn't seem to be a config.json file in the (v2) base_speakers directory.
Given that the guide mentioned:
> In April 2024, we released OpenVoice V2, which includes all features in V1 and has:
I assumed that these V2 models could be utilized for the same tasks as V1. However, I'm unsure about how to proceed. Is it possible to use V2 models for TTS, or is this feature exclusive to V1 models?
Any clarification would be greatly appreciated. Thank you! | {
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My GPU is a GTX 1060 6GB VM.
> ---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[3], line 2
1 reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone
----> 2 target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
File ~/dev/OpenVoice/openvoice/se_extractor.py:146, in get_se(audio_path, vc_model, target_dir, vad)
144 wavs_folder = split_audio_vad(audio_path, target_dir=target_dir, audio_name=audio_name)
145 else:
--> 146 wavs_folder = split_audio_whisper(audio_path, target_dir=target_dir, audio_name=audio_name)
148 audio_segs = glob(f'{wavs_folder}/*.wav')
149 if len(audio_segs) == 0:
File ~/dev/OpenVoice/openvoice/se_extractor.py:22, in split_audio_whisper(audio_path, audio_name, target_dir)
20 global model
21 if model is None:
---> 22 model = WhisperModel(model_size, device="cuda", compute_type="float16")
23 audio = AudioSegment.from_file(audio_path)
24 max_len = len(audio)
File ~/.local/lib/python3.10/site-packages/faster_whisper/transcribe.py:128, in WhisperModel.__init__(self, model_size_or_path, device, device_index, compute_type, cpu_threads, num_workers, download_root, local_files_only)
121 else:
122 model_path = download_model(
123 model_size_or_path,
124 local_files_only=local_files_only,
125 cache_dir=download_root,
126 )
--> 128 self.model = ctranslate2.models.Whisper(
129 model_path,
130 device=device,
131 device_index=device_index,
132 compute_type=compute_type,
133 intra_threads=cpu_threads,
134 inter_threads=num_workers,
135 )
137 tokenizer_file = os.path.join(model_path, "tokenizer.json")
138 if os.path.isfile(tokenizer_file):
ValueError: Requested float16 compute type, but the target device or backend do not support efficient float16 computation.
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Furthermore, I would appreciate if you tell me how you reproduced these samples (did you pay to use the model or used the open sourced version?).
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This command return a error urllib.error.URLError: <urlopen error [Errno 104] Connection reset by peer> | {
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- I added an issue to common issues about missing cuDNN libraries, a few of my friends have stumbled upon it, me included, it took a while to understand where to get them from
- I added info on how to set up a vritual evironment with venv | {
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/eɪʧ tiː ɛm ɛl/ | {
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- #172
- #171 | {
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Fixes Issues
- #116 | {
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Fixes issues:
- #174
- #154
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这个是一个关于路径不对的问题，当时我不知道为什么路径会不对，我明明都是没有问题的操作。
是不是缺少什么东西，有人可以解答一下吗？ | {
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/lib/python3.10/site-packages/openai/_client.py", line 100, in __init__
raise OpenAIError(
openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable
how to slove it,tks | {
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but in the code, there is no
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/166 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/166/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/166/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/166/events | https://github.com/myshell-ai/OpenVoice/issues/166 | 2,221,345,734 | I_kwDOKzf7Ec6EZwvG | 166 | ModuleNotFoundError: No module named 'openvoice.text' | {
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} | [] | open | false | null | [] | null | 4 | 2024-04-02T19:58:06 | 2024-05-15T15:08:09 | null | NONE | null | trying to import:
from openvoice import se_extractor
from openvoice.api import BaseSpeakerTTS, ToneColorConverter
and getting a ModuleNotFoundError. Tried almost everything. Any advice? | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/165 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/165/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/165/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/165/events | https://github.com/myshell-ai/OpenVoice/issues/165 | 2,216,612,489 | I_kwDOKzf7Ec6EHtKJ | 165 | Can we run OpenVoice on Mojo language? | {
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} | [] | open | false | null | [] | null | 1 | 2024-03-30T18:19:29 | 2024-03-30T20:45:42 | null | NONE | null | I want to use Mojo instead of python for this. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/164 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/164/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/164/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/164/events | https://github.com/myshell-ai/OpenVoice/issues/164 | 2,214,820,779 | I_kwDOKzf7Ec6EA3ur | 164 | Cannot install on Python version 3.11.8; only versions >=3.7,<3.11 are supported. | {
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} | [] | open | false | null | [] | null | 2 | 2024-03-29T07:21:14 | 2024-03-30T09:50:56 | null | NONE | null | Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [8 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-install-yy0htwn4/numba_fa7d338fc5844d07a46d40883585ba6a/setup.py", line 51, in <module>
_guard_py_ver()
File "/tmp/pip-install-yy0htwn4/numba_fa7d338fc5844d07a46d40883585ba6a/setup.py", line 48, in _guard_py_ver
raise RuntimeError(msg.format(cur_py, min_py, max_py))
RuntimeError: Cannot install on Python version 3.11.8; only versions >=3.7,<3.11 are supported.
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details. | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/163 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/163/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/163/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/163/events | https://github.com/myshell-ai/OpenVoice/pull/163 | 2,212,619,830 | PR_kwDOKzf7Ec5rBYce | 163 | fix: fix all typos issue | {
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} | [] | closed | false | null | [] | null | 0 | 2024-03-28T08:17:48 | 2024-04-22T17:27:14 | 2024-04-22T17:27:14 | NONE | null | check all typo issue and fix.
`recources` -> `resources`
`sentense` -> `sentence`
`splitted` -> `split` | {
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https://api.github.com/repos/myshell-ai/OpenVoice/issues/162 | https://api.github.com/repos/myshell-ai/OpenVoice | https://api.github.com/repos/myshell-ai/OpenVoice/issues/162/labels{/name} | https://api.github.com/repos/myshell-ai/OpenVoice/issues/162/comments | https://api.github.com/repos/myshell-ai/OpenVoice/issues/162/events | https://github.com/myshell-ai/OpenVoice/issues/162 | 2,208,758,099 | I_kwDOKzf7Ec6DpvlT | 162 | 这个问题这么解决？ | {
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} | [] | open | false | null | [] | null | 0 | 2024-03-26T16:37:38 | 2024-03-26T16:38:11 | null | NONE | null | D:\my_AI\lib\site-packages\torch\nn\utils\weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") | {
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