Eduardo Fernandes
commited on
Commit
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385cd6b
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Parent(s):
2e8a986
copy from facebook model
Browse files- README.md +69 -1
- config.yaml +28 -0
- fbank_enhanced_vad2_t2_gcmvn_stats.npz +3 -0
- hifigan.bin +3 -0
- hifigan.json +37 -0
- pytorch_model.pt +3 -0
- speakers.txt +200 -0
- vocab.txt +78 -0
README.md
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---
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-
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---
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---
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library_name: fairseq
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task: text-to-speech
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tags:
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- fairseq
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- audio
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- text-to-speech
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- multi-speaker
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language: en
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datasets:
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- common_voice
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widget:
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- text: "Hello, this is a test run."
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example_title: "Hello, this is a test run."
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---
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# tts_transformer-en-200_speaker-cv4
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[Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
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- English
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- 200 male/female voices (random speaker when using the widget)
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- Trained on [Common Voice v4](https://commonvoice.mozilla.org/en/datasets)
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## Usage
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```python
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from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
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from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
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import IPython.display as ipd
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models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
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"facebook/tts_transformer-en-200_speaker-cv4",
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arg_overrides={"vocoder": "hifigan", "fp16": False}
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)
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model = models[0]
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TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
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generator = task.build_generator(model, cfg)
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text = "Hello, this is a test run."
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sample = TTSHubInterface.get_model_input(task, text)
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wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
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ipd.Audio(wav, rate=rate)
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```
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See also [fairseq S^2 example](https://github.com/pytorch/fairseq/blob/main/examples/speech_synthesis/docs/common_voice_example.md).
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## Citation
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```bibtex
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@inproceedings{wang-etal-2021-fairseq,
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title = "fairseq S{\^{}}2: A Scalable and Integrable Speech Synthesis Toolkit",
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author = "Wang, Changhan and
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Hsu, Wei-Ning and
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Adi, Yossi and
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Polyak, Adam and
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Lee, Ann and
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Chen, Peng-Jen and
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Gu, Jiatao and
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Pino, Juan",
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booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
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month = nov,
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year = "2021",
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address = "Online and Punta Cana, Dominican Republic",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2021.emnlp-demo.17",
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doi = "10.18653/v1/2021.emnlp-demo.17",
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pages = "143--152",
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}
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```
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config.yaml
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features:
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eps: 1.0e-05
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f_max: 8000
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f_min: 0
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hop_len_t: 0.011609977324263039
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hop_length: 256
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n_fft: 1024
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n_mels: 80
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n_stft: 513
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sample_rate: 22050
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type: spectrogram+melscale+log
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win_len_t: 0.046439909297052155
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win_length: 1024
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window_fn: hann
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global_cmvn:
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stats_npz_path: fbank_enhanced_vad2_t2_gcmvn_stats.npz
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speaker_set_filename: speakers.txt
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transforms:
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'*':
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- global_cmvn
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vocab_filename: vocab.txt
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hub:
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phonemizer: g2p
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preserve_punct: true
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vocoder:
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type: hifigan
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config: hifigan.json
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checkpoint: hifigan.bin
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fbank_enhanced_vad2_t2_gcmvn_stats.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:580d4d5628a54c3c9db9bce97a922a7fe9ea5f7e8bcb3fcb41ef313e5446b3f7
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size 1140
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hifigan.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce4ab4c65a00d12ea3362375c1eb92f1c54054ac5373801a0dbed9f859102fc3
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size 55825897
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hifigan.json
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{
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"resblock": "1",
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"num_gpus": 0,
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"batch_size": 16,
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"learning_rate": 0.0002,
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"adam_b1": 0.8,
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"adam_b2": 0.99,
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"lr_decay": 0.999,
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"seed": 1234,
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"upsample_rates": [8,8,2,2],
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"upsample_kernel_sizes": [16,16,4,4],
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"upsample_initial_channel": 512,
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"resblock_kernel_sizes": [3,7,11],
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"resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
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"segment_size": 8192,
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"num_mels": 80,
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"num_freq": 1025,
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"n_fft": 1024,
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"hop_size": 256,
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"win_size": 1024,
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"sampling_rate": 22050,
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"fmin": 0,
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"fmax": 8000,
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"fmax_for_loss": null,
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"num_workers": 4,
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"dist_config": {
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"dist_backend": "nccl",
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"dist_url": "tcp://localhost:54321",
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"world_size": 1
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}
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}
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pytorch_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e4259646d89fda158800f61d1215b67911bfbd38de3133b15f6ab9a66a7e104
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size 656745141
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speakers.txt
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vocab.txt
ADDED
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1 |
+
| 1641210
|
2 |
+
AH0 532271
|
3 |
+
N 435697
|
4 |
+
T 431472
|
5 |
+
S 307743
|
6 |
+
R 292629
|
7 |
+
L 268624
|
8 |
+
D 267497
|
9 |
+
K 214986
|
10 |
+
Z 202004
|
11 |
+
IH1 194975
|
12 |
+
M 180138
|
13 |
+
DH 172053
|
14 |
+
IH0 170958
|
15 |
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. 149981
|
16 |
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EH1 146637
|
17 |
+
AE1 139795
|
18 |
+
P 132031
|
19 |
+
ER0 126993
|
20 |
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AA1 122544
|
21 |
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W 122206
|
22 |
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AH1 120656
|
23 |
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B 113637
|
24 |
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V 113355
|
25 |
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F 108865
|
26 |
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UW1 106905
|
27 |
+
IY1 102444
|
28 |
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IY0 98804
|
29 |
+
AY1 92308
|
30 |
+
HH 89764
|
31 |
+
AO1 89110
|
32 |
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EY1 88945
|
33 |
+
OW1 63941
|
34 |
+
NG 63677
|
35 |
+
G 57568
|
36 |
+
, 55632
|
37 |
+
SH 53637
|
38 |
+
Y 52629
|
39 |
+
JH 38107
|
40 |
+
ER1 35215
|
41 |
+
AW1 31486
|
42 |
+
CH 31475
|
43 |
+
TH 26783
|
44 |
+
UH1 21935
|
45 |
+
OW0 17155
|
46 |
+
EH2 14382
|
47 |
+
EY2 13469
|
48 |
+
? 10779
|
49 |
+
IH2 9956
|
50 |
+
AE2 8988
|
51 |
+
AY2 8764
|
52 |
+
AA2 8102
|
53 |
+
UW0 7817
|
54 |
+
OY1 6881
|
55 |
+
OW2 6548
|
56 |
+
AO2 6484
|
57 |
+
EH0 5633
|
58 |
+
AE0 4199
|
59 |
+
AA0 4181
|
60 |
+
ZH 4130
|
61 |
+
IY2 4075
|
62 |
+
UW2 3955
|
63 |
+
AH2 3866
|
64 |
+
! 3601
|
65 |
+
AY0 3270
|
66 |
+
AW2 3076
|
67 |
+
AO0 2814
|
68 |
+
' 1610
|
69 |
+
ER2 1324
|
70 |
+
EY0 1271
|
71 |
+
UH2 1238
|
72 |
+
AW0 767
|
73 |
+
UH0 411
|
74 |
+
OY2 368
|
75 |
+
- 233
|
76 |
+
... 120
|
77 |
+
OY0 97
|
78 |
+
.. 28
|