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embedder.pt with new dataset #19
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Generally, you can simply use the provided embedder.pt for all cases. Since the speaker vector extractor was trained on VoxCeleb2 dataset, it works well with various language/environments.
Seung-won Park
Undergraduate Student
Dept. of Physics and Astronomy & Computer Science Engineering
Seoul National University
yyyyy@snu.ac.kr | http://swpark.me
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Subject: [mindslab-ai/voicefilter] embeddet.pt with new dataset (#19)
Hi, if in case I wanted to use another dataset of audio files for the training and the test (not the one used here) the embedder.pt that I have to insert when I run "trainer.py" as I can generate it or which one I have to use ? Thank you
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Ok thanks because the dataset I am using is in Italian and I didn't know if this could create problems. Thank you |
Yes, there were no significant problem when I was trying to use it with Korean speech. Good luck on your testing with Italian speech! Best, Seungwon |
Thank you! |
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Hi, if in case I wanted to use another dataset of audio files for the training and the test (not the one used here) the embedder.pt that I have to insert when I run "trainer.py" as I can generate it or which one I have to use ? Thank you
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