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| <div class="title" align=center> | |
| <h1>vits-simple-api</h1> | |
| <div>Simply call the vits api</div> | |
| <br/> | |
| <br/> | |
| <p> | |
| <img src="https://img.shields.io/github/license/Artrajz/vits-simple-api"> | |
| <img src="https://img.shields.io/badge/python-3.9%7C3.10-green"> | |
| <a href="https://hub.docker.com/r/artrajz/vits-simple-api"> | |
| <img src="https://img.shields.io/docker/pulls/artrajz/vits-simple-api"></a> | |
| </p> | |
| <a href="https://github.com/Artrajz/vits-simple-api/blob/main/README.md">English</a>|<a href="https://github.com/Artrajz/vits-simple-api/blob/main/README_zh.md">中文文档</a> | |
| <br/> | |
| </div> | |
| # Feature | |
| - [x] VITS语音合成 | |
| - [x] VITS语音转换 | |
| - [x] HuBert-soft VITS模型 | |
| - [x] W2V2 VITS / emotional-vits维度情感模型 | |
| - [x] 加载多模型 | |
| - [x] 自动识别语言并处理，根据模型的cleaner设置语言类型识别的范围，支持自定义语言类型范围 | |
| - [x] 自定义默认参数 | |
| - [x] 长文本批处理 | |
| - [x] GPU加速推理 | |
| - [x] SSML语音合成标记语言（完善中...） | |
| <details><summary>Update Logs</summary><pre><code> | |
| <h2>2023.5.24</h2> | |
| <p>添加dimensional_emotion api,从文件夹加载多个npy文件,Docker添加了Linux/ARM64和Linux/ARM64/v8平台</p> | |
| <h2>2023.5.15</h2> | |
| <p>增加english_cleaner，需要额外安装espeak才能使用</p> | |
| <h2>2023.5.12</h2> | |
| <p>增加ssml支持，但仍需完善。重构部分功能，hubert_vits中的speaker_id改为id</p> | |
| <h2>2023.5.2</h2> | |
| <p>增加w2v2-vits/emotional-vits模型支持，修改了speakers映射表并添加了对应模型支持的语言</p> | |
| <h2>2023.4.23</h2> | |
| <p>增加api key鉴权，默认禁用，需要在config.py中启用</p> | |
| <h2>2023.4.17</h2> | |
| <p>修改单语言的cleaner需要标注才会clean，增加GPU加速推理，但需要手动安装gpu推理环境</p> | |
| <h2>2023.4.12</h2> | |
| <p>项目由MoeGoe-Simple-API更名为vits-simple-api，支持长文本批处理，增加长文本分段阈值max</p> | |
| <h2>2023.4.7</h2> | |
| <p>增加配置文件可自定义默认参数，本次更新需要手动更新config.py，具体使用方法见config.py</p> | |
| <h2>2023.4.6</h2> | |
| <p>加入自动识别语种选项auto，lang参数默认修改为auto，自动识别仍有一定缺陷，请自行选择</p> | |
| <p>统一POST请求类型为multipart/form-data</p> | |
| </code></pre></details> | |
| ## demo | |
| - `https://api.artrajz.cn/py/voice/vits?text=你好,こんにちは&id=142` | |
| - 激动：`https://api.artrajz.cn/py/voice/w2v2-vits?text=こんにちは&id=3&emotion=111` | |
| - 小声：`https://api.artrajz.cn/py/voice/w2v2-vits?text=こんにちは&id=3&emotion=2077` | |
| https://user-images.githubusercontent.com/73542220/237995061-c1f25b4e-dd86-438a-9363-4bb1fe65b425.mov | |
| demo服务器配置比较低所以不稳定 | |
| # 部署 | |
| ## Docker部署 | |
| ### 镜像拉取脚本 | |
| ``` | |
| bash -c "$(wget -O- https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/vits-simple-api-installer-latest.sh)" | |
| ``` | |
| - 目前docker镜像支持的平台`linux/amd64,linux/arm64` | |
| - 在拉取完成后，需要导入VITS模型才能使用，请根据以下步骤导入模型。 | |
| ### 下载VITS模型 | |
| 将模型放入`/usr/local/vits-simple-api/Model` | |
| <details><summary>Folder structure</summary><pre><code> | |
| │ hubert-soft-0d54a1f4.pt | |
| │ model.onnx | |
| │ model.yaml | |
| ├─g | |
| │ config.json | |
| │ G_953000.pth | |
| │ | |
| ├─louise | |
| │ 360_epochs.pth | |
| │ config.json | |
| │ | |
| ├─Nene_Nanami_Rong_Tang | |
| │ 1374_epochs.pth | |
| │ config.json | |
| │ | |
| ├─Zero_no_tsukaima | |
| │ 1158_epochs.pth | |
| │ config.json | |
| │ | |
| └─npy | |
| 25ecb3f6-f968-11ed-b094-e0d4e84af078.npy | |
| all_emotions.npy | |
| </code></pre></details> | |
| ### 修改模型路径 | |
| Modify in `/usr/local/vits-simple-api/config.py` | |
| <details><summary>config.py</summary><pre><code> | |
| # 在此填写模型路径 | |
| MODEL_LIST = [ | |
| # VITS | |
| [ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/1374_epochs.pth", ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/config.json"], | |
| [ABS_PATH + "/Model/Zero_no_tsukaima/1158_epochs.pth", ABS_PATH + "/Model/Zero_no_tsukaima/config.json"], | |
| [ABS_PATH + "/Model/g/G_953000.pth", ABS_PATH + "/Model/g/config.json"], | |
| # HuBert-VITS (Need to configure HUBERT_SOFT_MODEL) | |
| [ABS_PATH + "/Model/louise/360_epochs.pth", ABS_PATH + "/Model/louise/config.json"], | |
| # W2V2-VITS (Need to configure DIMENSIONAL_EMOTION_NPY) | |
| [ABS_PATH + "/Model/w2v2-vits/1026_epochs.pth", ABS_PATH + "/Model/w2v2-vits/config.json"], | |
| ] | |
| # hubert-vits: hubert soft 编码器 | |
| HUBERT_SOFT_MODEL = ABS_PATH + "/Model/hubert-soft-0d54a1f4.pt" | |
| # w2v2-vits: Dimensional emotion npy file | |
| # 加载单独的npy: ABS_PATH+"/all_emotions.npy | |
| # 加载多个npy: [ABS_PATH + "/emotions1.npy", ABS_PATH + "/emotions2.npy"] | |
| # 从文件夹里加载npy: ABS_PATH + "/Model/npy" | |
| DIMENSIONAL_EMOTION_NPY = ABS_PATH + "/Model/npy" | |
| # w2v2-vits: 需要在同一路径下有model.onnx和model.yaml | |
| DIMENSIONAL_EMOTION_MODEL = ABS_PATH + "/Model/model.yaml" | |
| </code></pre></details> | |
| ### 启动 | |
| `docker compose up -d` | |
| 或者重新执行拉取脚本 | |
| ### 镜像更新 | |
| 重新执行docker镜像拉取脚本即可 | |
| ## 虚拟环境部署 | |
| ### Clone | |
| `git clone https://github.com/Artrajz/vits-simple-api.git` | |
| ### 下载python依赖 | |
| 推荐使用python的虚拟环境，python版本 >= 3.9 | |
| `pip install -r requirements.txt` | |
| windows下可能安装不了fasttext,可以用以下命令安装，附[wheels下载地址](https://www.lfd.uci.edu/~gohlke/pythonlibs/#fasttext) | |
| ``` | |
| #python3.10 win_amd64 | |
| pip install https://github.com/Artrajz/archived/raw/main/fasttext/fasttext-0.9.2-cp310-cp310-win_amd64.whl | |
| #python3.9 win_amd64 | |
| pip install https://github.com/Artrajz/archived/raw/main/fasttext/fasttext-0.9.2-cp39-cp39-win_amd64.whl | |
| ``` | |
| ### 下载VITS模型 | |
| 将模型放入 `/path/to/vits-simple-api/Model` | |
| <details><summary>文件夹结构</summary><pre><code> | |
| ├─g | |
| │ config.json | |
| │ G_953000.pth | |
| │ | |
| ├─louise | |
| │ 360_epochs.pth | |
| │ config.json | |
| │ hubert-soft-0d54a1f4.pt | |
| │ | |
| ├─Nene_Nanami_Rong_Tang | |
| │ 1374_epochs.pth | |
| │ config.json | |
| │ | |
| └─Zero_no_tsukaima | |
| 1158_epochs.pth | |
| config.json | |
| </code></pre></details> | |
| ### 修改模型路径 | |
| 在 `/path/to/vits-simple-api/config.py` 修改 | |
| <details><summary>config.py</summary><pre><code> | |
| # 在此填写模型路径 | |
| MODEL_LIST = [ | |
| # VITS | |
| [ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/1374_epochs.pth", ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/config.json"], | |
| [ABS_PATH + "/Model/Zero_no_tsukaima/1158_epochs.pth", ABS_PATH + "/Model/Zero_no_tsukaima/config.json"], | |
| [ABS_PATH + "/Model/g/G_953000.pth", ABS_PATH + "/Model/g/config.json"], | |
| # HuBert-VITS (Need to configure HUBERT_SOFT_MODEL) | |
| [ABS_PATH + "/Model/louise/360_epochs.pth", ABS_PATH + "/Model/louise/config.json"], | |
| # W2V2-VITS (Need to configure DIMENSIONAL_EMOTION_NPY) | |
| [ABS_PATH + "/Model/w2v2-vits/1026_epochs.pth", ABS_PATH + "/Model/w2v2-vits/config.json"], | |
| ] | |
| # hubert-vits: hubert soft 编码器 | |
| HUBERT_SOFT_MODEL = ABS_PATH + "/Model/hubert-soft-0d54a1f4.pt" | |
| # w2v2-vits: Dimensional emotion npy file | |
| # 加载单独的npy: ABS_PATH+"/all_emotions.npy | |
| # 加载多个npy: [ABS_PATH + "/emotions1.npy", ABS_PATH + "/emotions2.npy"] | |
| # 从文件夹里加载npy: ABS_PATH + "/Model/npy" | |
| DIMENSIONAL_EMOTION_NPY = ABS_PATH + "/Model/npy" | |
| # w2v2-vits: 需要在同一路径下有model.onnx和model.yaml | |
| DIMENSIONAL_EMOTION_MODEL = ABS_PATH + "/Model/model.yaml" | |
| </code></pre></details> | |
| ### 启动 | |
| `python app.py` | |
| # GPU 加速 | |
| ## windows | |
| ### 安装CUDA | |
| 查看显卡最高支持CUDA的版本 | |
| ``` | |
| nvidia-smi | |
| ``` | |
| 以CUDA11.7为例，[官网](https://developer.nvidia.com/cuda-11-7-0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exe_local) | |
| ### 安装GPU版pytorch | |
| CUDA11.7对应的pytorch是用这个命令安装 | |
| ``` | |
| pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 | |
| ``` | |
| 对应版本的命令可以在[官网](https://pytorch.org/get-started/locally/)找到 | |
| ## Linux | |
| 安装过程类似，但我没有相应的环境所以没办法测试 | |
| # Openjtalk安装问题 | |
| 如果你是arm64架构的平台，由于pypi官网上没有arm64对应的whl，可能安装会出现一些问题，你可以使用我构建的whl来安装 | |
| ``` | |
| pip install openjtalk==0.3.0.dev2 --index-url https://pypi.artrajz.cn/simple | |
| ``` | |
| 或者是自己手动构建一个whl，可以根据[教程](https://artrajz.cn/index.php/archives/167/)来构建 | |
| # API | |
| ## GET | |
| #### speakers list | |
| - GET http://127.0.0.1:23456/voice/speakers | |
| 返回id对应角色的映射表 | |
| #### voice vits | |
| - GET http://127.0.0.1/voice?text=text | |
| 其他参数不指定时均为默认值 | |
| - GET http://127.0.0.1/voice?text=[ZH]text[ZH][JA]text[JA]&lang=mix | |
| lang=mix时文本要标注 | |
| - GET http://127.0.0.1/voice?text=text&id=142&format=wav&lang=zh&length=1.4 | |
| 文本为text，角色id为142，音频格式为wav，文本语言为zh，语音长度为1.4，其余参数默认 | |
| #### check | |
| - GET http://127.0.0.1:23456/voice/check?id=0&model=vits | |
| ## POST | |
| - python | |
| ```python | |
| import re | |
| import requests | |
| import os | |
| import random | |
| import string | |
| from requests_toolbelt.multipart.encoder import MultipartEncoder | |
| abs_path = os.path.dirname(__file__) | |
| base = "http://127.0.0.1:23456" | |
| # 映射表 | |
| def voice_speakers(): | |
| url = f"{base}/voice/speakers" | |
| res = requests.post(url=url) | |
| json = res.json() | |
| for i in json: | |
| print(i) | |
| for j in json[i]: | |
| print(j) | |
| return json | |
| # 语音合成 voice vits | |
| def voice_vits(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, max=50): | |
| fields = { | |
| "text": text, | |
| "id": str(id), | |
| "format": format, | |
| "lang": lang, | |
| "length": str(length), | |
| "noise": str(noise), | |
| "noisew": str(noisew), | |
| "max": str(max) | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| # 语音转换 hubert-vits | |
| def voice_hubert_vits(upload_path, id, format="wav", length=1, noise=0.667, noisew=0.8): | |
| upload_name = os.path.basename(upload_path) | |
| upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg | |
| with open(upload_path, 'rb') as upload_file: | |
| fields = { | |
| "upload": (upload_name, upload_file, upload_type), | |
| "id": str(id), | |
| "format": format, | |
| "length": str(length), | |
| "noise": str(noise), | |
| "noisew": str(noisew), | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice/hubert-vits" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| # 维度情感模型 w2v2-vits | |
| def voice_w2v2_vits(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, max=50, emotion=0): | |
| fields = { | |
| "text": text, | |
| "id": str(id), | |
| "format": format, | |
| "lang": lang, | |
| "length": str(length), | |
| "noise": str(noise), | |
| "noisew": str(noisew), | |
| "max": str(max), | |
| "emotion": str(emotion) | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice/w2v2-vits" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| # 语音转换 同VITS模型内角色之间的音色转换 | |
| def voice_conversion(upload_path, original_id, target_id): | |
| upload_name = os.path.basename(upload_path) | |
| upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg | |
| with open(upload_path, 'rb') as upload_file: | |
| fields = { | |
| "upload": (upload_name, upload_file, upload_type), | |
| "original_id": str(original_id), | |
| "target_id": str(target_id), | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice/conversion" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| def voice_ssml(ssml): | |
| fields = { | |
| "ssml": ssml, | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice/ssml" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| def voice_dimensional_emotion(upload_path): | |
| upload_name = os.path.basename(upload_path) | |
| upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg | |
| with open(upload_path, 'rb') as upload_file: | |
| fields = { | |
| "upload": (upload_name, upload_file, upload_type), | |
| } | |
| boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16)) | |
| m = MultipartEncoder(fields=fields, boundary=boundary) | |
| headers = {"Content-Type": m.content_type} | |
| url = f"{base}/voice/dimension-emotion" | |
| res = requests.post(url=url, data=m, headers=headers) | |
| fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0] | |
| path = f"{abs_path}/{fname}" | |
| with open(path, "wb") as f: | |
| f.write(res.content) | |
| print(path) | |
| return path | |
| ``` | |
| ## API KEY | |
| 在config.py中设置`API_KEY_ENABLED = True`以启用，api key填写：`API_KEY = "api-key"`。 | |
| 启用后，GET请求中使用需要增加参数api_key，POST请求中使用需要在header中添加参数`X-API-KEY`。 | |
| # Parameter | |
| ## VITS语音合成 | |
| | Name | Parameter | Is must | Default | Type | Instruction | | |
| | ------------- | --------- | ------- | ------- | ----- | ------------------------------------------------------------ | | |
| | 合成文本 | text | true | | str | | | |
| | 角色id | id | false | 0 | int | | | |
| | 音频格式 | format | false | wav | str | wav,ogg,silk | | |
| | 文本语言 | lang | false | auto | str | auto为自动识别语言模式，也是默认模式。lang=mix时，文本应该用[ZH] 或 [JA] 包裹。方言无法自动识别。 | | |
| | 语音长度/语速 | length | false | 1.0 | float | 调节语音长度，相当于调节语速，该数值越大语速越慢 | | |
| | 噪声 | noise | false | 0.667 | float | | | |
| | 噪声偏差 | noisew | false | 0.8 | float | | | |
| | 分段阈值 | max | false | 50 | int | 按标点符号分段，加起来大于max时为一段文本。max<=0表示不分段。 | | |
| ## VITS 语音转换 | |
| | Name | Parameter | Is must | Default | Type | Instruction | | |
| | ---------- | ----------- | ------- | ------- | ---- | ---------------------- | | |
| | 上传音频 | upload | true | | file | wav or ogg | | |
| | 源角色id | original_id | true | | int | 上传文件所使用的角色id | | |
| | 目标角色id | target_id | true | | int | 要转换的目标角色id | | |
| ## HuBert-VITS 语音转换 | |
| | Name | Parameter | Is must | Default | Type | Instruction | | |
| | ------------- | --------- | ------- | ------- | ----- | ------------------------------------------------ | | |
| | 上传音频 | upload | true | | file | | | |
| | 目标角色id | id | true | | int | | | |
| | 音频格式 | format | true | | str | wav,ogg,silk | | |
| | 语音长度/语速 | length | true | | float | 调节语音长度，相当于调节语速，该数值越大语速越慢 | | |
| | 噪声 | noise | true | | float | | | |
| | 噪声偏差 | noisew | true | | float | | | |
| ## Dimensional emotion | |
| | Name | Parameter | Is must | Default | Type | Instruction | | |
| | -------- | --------- | ------- | ------- | ---- | ----------------------------- | | |
| | 上传音频 | upload | true | | file | 返回存储维度情感向量的npy文件 | | |
| ## W2V2-VITS | |
| | Name | Parameter | Is must | Default | Type | Instruction | | |
| | ------------- | --------- | ------- | ------- | ----- | ------------------------------------------------------------ | | |
| | 合成文本 | text | true | | str | | | |
| | 角色id | id | false | 0 | int | | | |
| | 音频格式 | format | false | wav | str | wav,ogg,silk | | |
| | 文本语言 | lang | false | auto | str | auto为自动识别语言模式，也是默认模式。lang=mix时，文本应该用[ZH] 或 [JA] 包裹。方言无法自动识别。 | | |
| | 语音长度/语速 | length | false | 1.0 | float | 调节语音长度，相当于调节语速，该数值越大语速越慢 | | |
| | 噪声 | noise | false | 0.667 | float | | | |
| | 噪声偏差 | noisew | false | 0.8 | float | | | |
| | 分段阈值 | max | false | 50 | int | 按标点符号分段，加起来大于max时为一段文本。max<=0表示不分段。 | | |
| | 维度情感 | emotion | false | 0 | int | 范围取决于npy情感参考文件，如[innnky](https://huggingface.co/spaces/innnky/nene-emotion/tree/main)的all_emotions.npy模型范围是0-5457 | | |
| ## SSML语音合成标记语言 | |
| 目前支持的元素与属性 | |
| `speak`元素 | |
| | Attribute | Description | Is must | | |
| | --------- | ------------------------------------------------------------ | ------- | | |
| | id | 默认值从`config.py`中读取 | false | | |
| | lang | 默认值从`config.py`中读取 | false | | |
| | length | 默认值从`config.py`中读取 | false | | |
| | noise | 默认值从`config.py`中读取 | false | | |
| | noisew | 默认值从`config.py`中读取 | false | | |
| | max | 按标点符号分段，加起来大于max时为一段文本。max<=0表示不分段，这里默认为0。 | false | | |
| | model | 默认为vits，可选`w2v2-vits`，`emotion-vits` | false | | |
| | emotion | 只有用`w2v2-vits`或`emotion-vits`时`emotion`才生效，范围取决于npy情感参考文件 | false | | |
| `voice`元素 | |
| 优先级大于`speak` | |
| | Attribute | Description | Is must | | |
| | --------- | ------------------------------------------------------------ | ------- | | |
| | id | 默认值从`config.py`中读取 | false | | |
| | lang | 默认值从`config.py`中读取 | false | | |
| | length | 默认值从`config.py`中读取 | false | | |
| | noise | 默认值从`config.py`中读取 | false | | |
| | noisew | 默认值从`config.py`中读取 | false | | |
| | max | 按标点符号分段，加起来大于max时为一段文本。max<=0表示不分段，这里默认为0。 | false | | |
| | model | 默认为vits，可选`w2v2-vits`，`emotion-vits` | false | | |
| | emotion | 只有用`w2v2-vits`或`emotion-vits`时`emotion`才会生效 | false | | |
| `break`元素 | |
| | Attribute | Description | Is must | | |
| | --------- | ------------------------------------------------------------ | ------- | | |
| | strength | x-weak,weak,medium（默认值）,strong,x-strong | false | | |
| | time | 暂停的绝对持续时间，以秒为单位（例如 `2s`）或以毫秒为单位（例如 `500ms`）。 有效值的范围为 0 到 5000 毫秒。 如果设置的值大于支持的最大值，则服务将使用 `5000ms`。 如果设置了 `time` 属性，则会忽略 `strength` 属性。 | false | | |
| | Strength | Relative Duration | | |
| | :------- | :---------------- | | |
| | x-weak | 250 毫秒 | | |
| | weak | 500 毫秒 | | |
| | Medium | 750 毫秒 | | |
| | Strong | 1000 毫秒 | | |
| | x-strong | 1250 毫秒 | | |
| 示例 | |
| ```xml | |
| <speak lang="zh" format="mp3" length="1.2"> | |
| <voice id="92" >这几天心里颇不宁静。</voice> | |
| <voice id="125">今晚在院子里坐着乘凉，忽然想起日日走过的荷塘，在这满月的光里，总该另有一番样子吧。</voice> | |
| <voice id="142">月亮渐渐地升高了，墙外马路上孩子们的欢笑，已经听不见了；</voice> | |
| <voice id="98">妻在屋里拍着闰儿，迷迷糊糊地哼着眠歌。</voice> | |
| <voice id="120">我悄悄地披了大衫，带上门出去。</voice><break time="2s"/> | |
| <voice id="121">沿着荷塘，是一条曲折的小煤屑路。</voice> | |
| <voice id="122">这是一条幽僻的路；白天也少人走，夜晚更加寂寞。</voice> | |
| <voice id="123">荷塘四面，长着许多树，蓊蓊郁郁的。</voice> | |
| <voice id="124">路的一旁，是些杨柳，和一些不知道名字的树。</voice> | |
| <voice id="125">没有月光的晚上，这路上阴森森的，有些怕人。</voice> | |
| <voice id="126">今晚却很好，虽然月光也还是淡淡的。</voice><break time="2s"/> | |
| <voice id="127">路上只我一个人，背着手踱着。</voice> | |
| <voice id="128">这一片天地好像是我的；我也像超出了平常的自己，到了另一个世界里。</voice> | |
| <voice id="129">我爱热闹，也爱冷静；<break strength="x-weak"/>爱群居，也爱独处。</voice> | |
| <voice id="130">像今晚上，一个人在这苍茫的月下，什么都可以想，什么都可以不想，便觉是个自由的人。</voice> | |
| <voice id="131">白天里一定要做的事，一定要说的话，现在都可不理。</voice> | |
| <voice id="132">这是独处的妙处，我且受用这无边的荷香月色好了。</voice> | |
| </speak> | |
| ``` | |
| # 交流平台 | |
| 现在只有 [Q群](https://qm.qq.com/cgi-bin/qm/qr?k=-1GknIe4uXrkmbDKBGKa1aAUteq40qs_&jump_from=webapi&authKey=x5YYt6Dggs1ZqWxvZqvj3fV8VUnxRyXm5S5Kzntc78+Nv3iXOIawplGip9LWuNR/) | |
| # 鸣谢 | |
| - vits:https://github.com/jaywalnut310/vits | |
| - MoeGoe:https://github.com/CjangCjengh/MoeGoe | |
| - emotional-vits:https://github.com/innnky/emotional-vits | |
| - vits-uma-genshin-honkai:https://huggingface.co/spaces/zomehwh/vits-uma-genshin-honkai | |