Missing whisper and tensor error #480

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opened 2024-03-19 19:14:28 +07:00 by VoiceLessQ · 2 comments

Ive been trying to fix Ai Voicecloning for a while now. Its been couple days when i broke, dont ask me how. Now i kept getting error when preparing dataset.

I know ive seen the post around here and try their fix but nothing works. I have ffmpeg and in path. Ive tried redownload a tons too.

Missing whisper.json is one of them.

Also ive get getting this tensor error with tensor ambiguous error word it it when finish the transcribing the dataset.

What can i do other than keep redownloading, and im tired of redownloading and tried to fix the error.

Ive been trying to fix Ai Voicecloning for a while now. Its been couple days when i broke, dont ask me how. Now i kept getting error when preparing dataset. I know ive seen the post around here and try their fix but nothing works. I have ffmpeg and in path. Ive tried redownload a tons too. Missing whisper.json is one of them. Also ive get getting this tensor error with tensor ambiguous error word it it when finish the transcribing the dataset. What can i do other than keep redownloading, and im tired of redownloading and tried to fix the error.
VoiceLessQ changed title from Missing whisper and to Missing whisper and tensor error 2024-03-19 19:14:41 +07:00

cannot reshape tensor of 0 elements into shape [-1, 0] because the unspecified dimension size -1 can be any value and is ambiguous

Got this after preparing dataset, only after finishing transcription

> cannot reshape tensor of 0 elements into shape [-1, 0] because the unspecified dimension size -1 can be any value and is ambiguous Got this after preparing dataset, only after finishing transcription

About the reshape tensor error, do you have this during the generation?
I found that it might be a sample problem (you must have at least as much samples as the number of generations you make), AND sometimes adding emotions triggers the error, though I never understood why!
Hope it helps!

About the reshape tensor error, do you have this during the generation? I found that it might be a sample problem (you must have at least as much samples as the number of generations you make), AND sometimes adding emotions triggers the error, though I never understood why! Hope it helps!
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Reference: mrq/ai-voice-cloning#480
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