Closed emanueleielo closed 4 months ago
Every stage is the same, except that you should use your own training data of the new language and prepare the wav.scp and utt2spk files.
@JiJiJiang could you provide some details on preparing the dataset? the current shape of the data is that I am having a couple of thousands of audio clips each paired with transcription and speaker id.
Also will there be anything wrong if the pretrained model is trained on another language?
Thank you
Thank you for the response @JiJiJiang Now I have these fields in the dataset, (audio, text, speaker_id) 1) Are they enough? 2) And what is the utterance_id?
Thank you @JiJiJiang , Now after preparing the data can you provide me with some details about the required steps to fine-tune or pretrain a model, like the one in this link
I tried a lot to understand what do you mean by stages from the github but couldn’t get to the right path.
Thank you @JiJiJiang , Now after preparing the data can you provide me with some details about the required steps to fine-tune or pretrain a model, like the one in this link
I tried a lot to understand what do you mean by stages from the github but couldn’t get to the right path.
https://github.com/wenet-e2e/wespeaker/issues/250 On this issue they say that will prepare the docs but I didn't find it. Did you found something to fine-tune the pretrain model?
@emanueleielo unfortunately didn't find any thoughts on how to fine-tune the model
@emanueleielo unfortunately didn't find any thoughts on how to fine-tune the model
@JiJiJiang it would be great to have some information about it, even how much time the trained model has required for the training
Hi, there is a recipe to follow on how to train on a new Language?
Thanks a lot