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README.md
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---
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language: vi
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license: cc-by-nc-4.0
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library_name: coqui-tts
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tags:
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- tts
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- text-to-speech
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- vits
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- mms
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- fairseq
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pipeline_tag: text-to-speech
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---
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# MMS VITS (Vietnamese)
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Vietnamese VITS from Facebook's Massively Multilingual Speech (MMS) project,
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packaged as the Coqui TTS community model `tts_models/vie/fairseq/vits`.
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License: CC BY-NC 4.0 (non-commercial). Source: Facebook AI / MMS.
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## Files
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- `model.pth` — VITS weights
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- `config.json` — model config
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- `vocab.txt` — character vocabulary
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## Usage
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Load with coqui-tts by passing `model_path=model.pth` and `config_path=config.json`.
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config.json
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{
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"train": {
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"log_interval": 200,
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"eval_interval": 1000,
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"seed": 1234,
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"epochs": 20000,
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"learning_rate": 0.0002,
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"betas": [
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0.8,
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0.99
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],
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"eps": 1e-09,
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"batch_size": 64,
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"fp16_run": true,
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"lr_decay": 0.999875,
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"segment_size": 8192,
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"init_lr_ratio": 1,
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"warmup_epochs": 0,
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"c_mel": 45,
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"c_kl": 1.0
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},
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"data": {
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"training_files": "train.ltr",
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"validation_files": "dev.ltr",
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"text_cleaners": [
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"transliteration_cleaners"
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],
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"max_wav_value": 32768.0,
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"sampling_rate": 16000,
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"filter_length": 1024,
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"hop_length": 256,
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"win_length": 1024,
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"n_mel_channels": 80,
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"mel_fmin": 0.0,
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"mel_fmax": null,
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"add_blank": true,
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"n_speakers": 0,
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"cleaned_text": true
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},
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"model": {
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"inter_channels": 192,
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"hidden_channels": 192,
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"filter_channels": 768,
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"n_heads": 2,
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"n_layers": 6,
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"kernel_size": 3,
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"p_dropout": 0.1,
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"resblock": "1",
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"resblock_kernel_sizes": [
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3,
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7,
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11
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],
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"resblock_dilation_sizes": [
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[
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1,
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3,
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5
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],
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[
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1,
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3,
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5
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],
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[
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1,
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3,
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5
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]
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],
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"upsample_rates": [
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8,
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8,
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2,
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2
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],
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"upsample_initial_channel": 512,
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"upsample_kernel_sizes": [
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16,
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16,
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4,
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4
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],
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"n_layers_q": 3,
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"use_spectral_norm": false
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}
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}
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model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:86da8a73c02690dfeec18b6e9f766f710a755b27d78e20a9bfac871018f94526
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size 145528297
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vocab.txt
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