[TTS]Cantonese FastSpeech2 Training, test=tts #2907
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yt605155624
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| ### Training details can refer to the script of examples/aishell3/tts3. | ||
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| ## Pretrained Model(Waiting========) |
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现在模型已经训练完了吧？感觉预训练模型可以放上来了
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| └── speech_stats.npy # statistics used to normalize spectrogram when training fastspeech2 | ||
| ``` | ||
| You can use the following scripts to synthesize for `${BIN_DIR}/../sentences.txt` using pretrained fastspeech2 and parallel wavegan models. | ||
| ```bash |
| str(fp), sr=config.fs, | ||
| mono=False) if "canton" in str(fp) else librosa.load( | ||
| str(fp), sr=config.fs) | ||
| if len(wav.shape) == 2 and "canton" in str(fp): |
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mfa 的时候要求数据集直接放在 datasets/ 里面，但是此处又要求放在 datasets/canton_all 里面，此处统一下吧，如果这里不好改就改 mfa
yt605155624
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yt605155624
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yt605155624
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| # Only used for feats_type != raw | ||
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| fmin: 80 # Minimum frequency of Mel basis. |
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fmin 是不是也要改成 110，不然感觉会包含了噪声
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就现在合成效果来看这块问题不大，改的话和预训练的 voc 参数不匹配，可能影响合成效果，这个之后再看
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| CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 | ||
| fi | ||
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| if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then |
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加入文本前端之后后面这些 stage 可以删掉
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Cantonese FastSpeech2 Training, test=tts