VITS checkpoint trained on Hi-Fi TTS
Browse files- README.md +43 -0
- args.json +245 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/ckpts.json +12 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/model.safetensors +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/model_1.safetensors +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/optimizer.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/optimizer_1.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/random_states_0.pkl +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/scheduler.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/scheduler_1.bin +3 -0
- spk2id.json +12 -0
- symbols.dict +83 -0
README.md
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---
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license: mit
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---
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---
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license: mit
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language:
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- en
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---
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# Amphion Multi-Speaker TTS Pre-trained Model
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## Quick Start
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We provide the pre-trained checkpoint of [VITS](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS), trained on [Hi-fi TTS](https://www.openslr.org/109/), which consists of a total of 291.6 hours audio contributed by 10 speakers, on an average of 17 hours per speaker.
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To utilize the pre-trained model, run the following commands:
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### Step1: Download the checkpoint
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```bash
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git lfs install
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git clone https://huggingface.co/amphion/vits_hifitts
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```
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### Step2: Clone the Amphion's Source Code of GitHub
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```bash
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git clone https://github.com/open-mmlab/Amphion.git
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```
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### Step3: Specify the checkpoint's path
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Use the soft link to specify the downloaded checkpoint in the first step:
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```bash
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cd Amphion
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mkdir -p ckpts/tts
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ln -s ../../../vits_hifitts ckpts/tts/
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```
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### Step4: Inference
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You can follow the inference part of this [recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS#4-inference) to generate speech from text. For example, if you want to synthesize a clip of speech with the text of "This is a clip of generated speech with the given text from a TTS model.", just, run:
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```bash
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sh egs/tts/VITS/run.sh --stage 3 --gpu "0" \
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--config ckpts/tts/vits_hifitts/args.json \
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--infer_expt_dir ckpts/tts/vits_hifitts/ \
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--infer_output_dir ckpts/tts/vits_hifitts/result \
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--infer_mode "single" \
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--infer_text "This is a clip of generated speech with the given text from a TTS model." \
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--infer_speaker_name "hifitts_92"
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```
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**Note**: The supported `infer_speaker_name` values can be seen [here](https://huggingface.co/amphion/vits_hifitts/tree/main/spk2id.json).
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args.json
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| 1 |
+
{
|
| 2 |
+
"base_config": "config/vits.json",
|
| 3 |
+
"dataset": [
|
| 4 |
+
"hifitts",
|
| 5 |
+
],
|
| 6 |
+
"dataset_path": {
|
| 7 |
+
"hifitts": "/mnt/workspace/xueliumeng/data/hifitts/hi_fi_tts_v0",
|
| 8 |
+
},
|
| 9 |
+
"exp_name": "HifiTTS_all",
|
| 10 |
+
"log_dir": "/mnt/workspace/tzeying/data/vits_on_libritts_hifitts/logs",
|
| 11 |
+
"model": {
|
| 12 |
+
"filter_channels": 768,
|
| 13 |
+
"gin_channels": 256,
|
| 14 |
+
"hidden_channels": 192,
|
| 15 |
+
"inter_channels": 192,
|
| 16 |
+
"kernel_size": 3,
|
| 17 |
+
"n_heads": 2,
|
| 18 |
+
"n_layers": 6,
|
| 19 |
+
"n_layers_q": 3,
|
| 20 |
+
"n_speakers": 10,
|
| 21 |
+
"p_dropout": 0.1,
|
| 22 |
+
"resblock": "1",
|
| 23 |
+
"resblock_dilation_sizes": [
|
| 24 |
+
[
|
| 25 |
+
1,
|
| 26 |
+
3,
|
| 27 |
+
5,
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
1,
|
| 31 |
+
3,
|
| 32 |
+
5,
|
| 33 |
+
],
|
| 34 |
+
[
|
| 35 |
+
1,
|
| 36 |
+
3,
|
| 37 |
+
5,
|
| 38 |
+
],
|
| 39 |
+
],
|
| 40 |
+
"resblock_kernel_sizes": [
|
| 41 |
+
3,
|
| 42 |
+
7,
|
| 43 |
+
11,
|
| 44 |
+
],
|
| 45 |
+
"text_token_num": 512,
|
| 46 |
+
"upsample_initial_channel": 512,
|
| 47 |
+
"upsample_kernel_sizes": [
|
| 48 |
+
16,
|
| 49 |
+
16,
|
| 50 |
+
4,
|
| 51 |
+
4,
|
| 52 |
+
],
|
| 53 |
+
"upsample_rates": [
|
| 54 |
+
8,
|
| 55 |
+
8,
|
| 56 |
+
2,
|
| 57 |
+
2,
|
| 58 |
+
],
|
| 59 |
+
"use_sdp": true,
|
| 60 |
+
"use_spectral_norm": false,
|
| 61 |
+
},
|
| 62 |
+
"model_type": "VITS",
|
| 63 |
+
"preprocess": {
|
| 64 |
+
"add_blank": true,
|
| 65 |
+
"align_mel_duration": false,
|
| 66 |
+
"audio_dir": "audios",
|
| 67 |
+
"bits": 8,
|
| 68 |
+
"contentvec_dir": "contentvec",
|
| 69 |
+
"data_augment": false,
|
| 70 |
+
"dur_dir": "durs",
|
| 71 |
+
"duration_dir": "duration",
|
| 72 |
+
"emo2id": "emo2id.json",
|
| 73 |
+
"energy_dir": "energys",
|
| 74 |
+
"energy_extract_mode": "from_mel",
|
| 75 |
+
"energy_norm": false,
|
| 76 |
+
"energy_remove_outlier": false,
|
| 77 |
+
"extract_acoustic_token": false,
|
| 78 |
+
"extract_amplitude_phase": false,
|
| 79 |
+
"extract_audio": true,
|
| 80 |
+
"extract_contentvec_feature": false,
|
| 81 |
+
"extract_duration": false,
|
| 82 |
+
"extract_energy": false,
|
| 83 |
+
"extract_label": false,
|
| 84 |
+
"extract_linear_spec": true,
|
| 85 |
+
"extract_mcep": false,
|
| 86 |
+
"extract_mel": true,
|
| 87 |
+
"extract_mert_feature": false,
|
| 88 |
+
"extract_phone": true,
|
| 89 |
+
"extract_pitch": false,
|
| 90 |
+
"extract_uv": false,
|
| 91 |
+
"extract_wenet_feature": false,
|
| 92 |
+
"extract_whisper_feature": false,
|
| 93 |
+
"file_lst": "file.lst",
|
| 94 |
+
"fmax": null,
|
| 95 |
+
"fmin": 0,
|
| 96 |
+
"hop_size": 256,
|
| 97 |
+
"imaginary_dir": "imaginarys",
|
| 98 |
+
"lab_dir": "labs",
|
| 99 |
+
"label_dir": "labels",
|
| 100 |
+
"language": "en-us",
|
| 101 |
+
"lexicon_path": "./text/lexicon/librispeech-lexicon.txt",
|
| 102 |
+
"linear_dir": "linears",
|
| 103 |
+
"log_amplitude_dir": "log_amplitudes",
|
| 104 |
+
"mcep_dir": "mcep",
|
| 105 |
+
"mel_dir": "mels",
|
| 106 |
+
"mel_extract_mode": "",
|
| 107 |
+
"mel_min_max_norm": false,
|
| 108 |
+
"min_level_db": -115,
|
| 109 |
+
"n_fft": 1024,
|
| 110 |
+
"n_mel": 80,
|
| 111 |
+
"num_silent_frames": 8,
|
| 112 |
+
"phase_dir": "phases",
|
| 113 |
+
"phone_dir": "phones",
|
| 114 |
+
"phone_energy_dir": "phone_energys",
|
| 115 |
+
"phone_extractor": "espeak",
|
| 116 |
+
"phone_pitch_dir": "phone_pitches",
|
| 117 |
+
"phone_seq_file": "phone_seq_file",
|
| 118 |
+
"pitch_dir": "pitches",
|
| 119 |
+
"pitch_extractor": "parselmouth",
|
| 120 |
+
"pitch_norm": false,
|
| 121 |
+
"pitch_remove_outlier": false,
|
| 122 |
+
"processed_dir": "/mnt/workspace/xueliumeng/data/vits_on_libritts_hifitts/processed_data",
|
| 123 |
+
"raw_data": "raw_data",
|
| 124 |
+
"real_dir": "reals",
|
| 125 |
+
"ref_level_db": 20,
|
| 126 |
+
"sample_rate": 24000,
|
| 127 |
+
"segment_size": 8192,
|
| 128 |
+
"spk2id": "spk2id.json",
|
| 129 |
+
"symbols_dict": "symbols.dict",
|
| 130 |
+
"text_cleaners": [
|
| 131 |
+
"english_cleaners",
|
| 132 |
+
],
|
| 133 |
+
"train_file": "train_all.json",
|
| 134 |
+
"trim_fft_size": 512,
|
| 135 |
+
"trim_hop_size": 128,
|
| 136 |
+
"trim_silence": false,
|
| 137 |
+
"trim_top_db": 30,
|
| 138 |
+
"trimmed_wav_dir": "trimmed_wavs",
|
| 139 |
+
"use_amplitude_phase": false,
|
| 140 |
+
"use_audio": true,
|
| 141 |
+
"use_dur": false,
|
| 142 |
+
"use_emoid": false,
|
| 143 |
+
"use_frame_duration": false,
|
| 144 |
+
"use_frame_energy": false,
|
| 145 |
+
"use_frame_pitch": false,
|
| 146 |
+
"use_lab": false,
|
| 147 |
+
"use_label": false,
|
| 148 |
+
"use_linear": true,
|
| 149 |
+
"use_log_scale_energy": false,
|
| 150 |
+
"use_log_scale_pitch": false,
|
| 151 |
+
"use_mel": true,
|
| 152 |
+
"use_min_max_norm_mel": false,
|
| 153 |
+
"use_one_hot": false,
|
| 154 |
+
"use_phn_seq": false,
|
| 155 |
+
"use_phone": true,
|
| 156 |
+
"use_phone_duration": false,
|
| 157 |
+
"use_phone_energy": false,
|
| 158 |
+
"use_phone_pitch": false,
|
| 159 |
+
"use_spkid": true,
|
| 160 |
+
"use_text": false,
|
| 161 |
+
"use_uv": false,
|
| 162 |
+
"use_wav": false,
|
| 163 |
+
"use_wenet": false,
|
| 164 |
+
"utt2emo": "utt2emo",
|
| 165 |
+
"utt2spk": "utt2spk",
|
| 166 |
+
"uv_dir": "uvs",
|
| 167 |
+
"valid_file": "valid_100.json",
|
| 168 |
+
"wav_dir": "wavs",
|
| 169 |
+
"wenet_dir": "wenet",
|
| 170 |
+
"win_size": 1024,
|
| 171 |
+
},
|
| 172 |
+
"supported_model_type": [
|
| 173 |
+
"Fastspeech2",
|
| 174 |
+
"VITS",
|
| 175 |
+
"VALLE",
|
| 176 |
+
],
|
| 177 |
+
"task_type": "tts",
|
| 178 |
+
"train": {
|
| 179 |
+
"AdamW": {
|
| 180 |
+
"betas": [
|
| 181 |
+
0.8,
|
| 182 |
+
0.99,
|
| 183 |
+
],
|
| 184 |
+
"eps": 1e-09,
|
| 185 |
+
},
|
| 186 |
+
"adamw": {
|
| 187 |
+
"lr": 0.0004,
|
| 188 |
+
},
|
| 189 |
+
"batch_size": 16,
|
| 190 |
+
"betas": [
|
| 191 |
+
0.8,
|
| 192 |
+
0.99,
|
| 193 |
+
],
|
| 194 |
+
"c_kl": 1.0,
|
| 195 |
+
"c_mel": 45,
|
| 196 |
+
"dataloader": {
|
| 197 |
+
"num_worker": 32,
|
| 198 |
+
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