I am trying Common Voice Indian English Multi-Speakers and VCTK Training. I need a few suggestions from you
Steps:
I add Common Voice Indian English Multi-Speakers (40 speakers - each having 30 minutes Datasets) along with VCTK 109 Speakers. and start training use_CSMI=True use_CPMI=True use_PSMI=True
After the model is trained with good accuracy, will go for fine-tuning with other Indian regional languages of Common Voice (Tamil, Hindi, Urdu, etc)
is this approach good?
@Wendison kindly request, please give your suggestions. Thanks
Hi, @Wendison Thank you so much for your excellent work. very nice paper.
When I saw this reply on the below issues, it helped me to motivate to go further.
https://github.com/Wendison/VQMIVC/issues/14#issuecomment-937900528
https://github.com/Wendison/VQMIVC/issues/17#issuecomment-971136691
I am trying Common Voice Indian English Multi-Speakers and VCTK Training. I need a few suggestions from you
Steps:
I add Common Voice Indian English Multi-Speakers (40 speakers - each having 30 minutes Datasets) along with VCTK 109 Speakers. and start training use_CSMI=True use_CPMI=True use_PSMI=True
After the model is trained with good accuracy, will go for fine-tuning with other Indian regional languages of Common Voice (Tamil, Hindi, Urdu, etc)
is this approach good?
@Wendison kindly request, please give your suggestions. Thanks