Comments (5)
You need to train a text aligner first, see https://github.com/yl4579/AuxiliaryASR
But if you want to IPA, for example, you do not need to train your own text aligner. You can just use what I have provided here.
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@yl4579 It means if I train in another language and still use IPA characters I can use the pre-trained text aligner? If that's right, what about the alignment accuracy? Because the pre-trained ASR was for English.
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@leminhnguyen The aligner in this repo was not just English. It was pre-trained on English, Japanese, Spanish, and Mandarin Chinese datasets, so it covers a wide range of IPAs. If the target language still differs significantly from these four languages (for example, Hindi, German, and Persian should be fine because they are phonetically close to these four languages, but Arabic might be a little difficult), you still need to retrain the text aligner.
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Thanks @yl4579, I will try to use the pre-trained ASR model for Vietnamese.
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@leminhnguyen I wonder if you have trained in Vietnamese yet. If you have already trained, can you provide the pre-train model?
Thank you very much ?
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Related Issues (20)
- About train on Vietnamese Dataset HOT 1
- 多卡训练的问题 HOT 5
- batch size and number of epochs for large dataset HOT 1
- style encoder inconsistency HOT 1
- First stage alignment training failed when TMA_CEloss=True HOT 2
- what is the mean=-4 and std=4 meannig? HOT 1
- Training the model HOT 1
- Training Model with new Dataset
- The pronunciations of single words or short words is poor? HOT 1
- Question: Fine tuning LibriTTS with StyleTTS HOT 5
- Inference exact time for each word HOT 5
- train on ESD HOT 1
- Pre-training model sound quality issues HOT 5
- question HOT 2
- StyleTTS 2 HOT 1
- S2S HOT 1
- Has anyone had this problem when converting to onnx?
- Is the uv detector trained in the pretrained pitch detector?
- Marathi Support ?
- Voice Quality issue using Librispeech
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