Comments (2)
Now that you mention it I realize that I never put this function somewhere in the repo, I only have it lying around as a script. I will turn it into a proper script that's easy to use and include it in the toolkit when I find the time. It works by using the aligner, calculating which frames belong to which utterance and then making a split in the waveform following the ratio calculated using the spectrogram frames and the aligner. It's at the same time simple and a brain twister to think about.
You have to segment the text manually by speaker, but the cutting of the audio happens automatically.
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Thanks for your answer. Looking forward to testing it!
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Related Issues (20)
- Questions about LAML procedure implementation HOT 4
- Size compatability issue when voice cloning HOT 1
- Porting model(s) to mobile (Android) HOT 2
- [Question] Code related to "EXACT PROSODY CLONING IN ZERO-SHOT MULTISPEAKER TEXT-TO-SPEECH" HOT 2
- Adding controlled pauses to the generated speech HOT 2
- Train a Finnish checkpoint from scratch HOT 5
- Memory Overload from Multiple Python Instances During TTS Training: Windows 10 HOT 6
- raining Issue: Reconstruction Loss Resets After Some Epochs HOT 2
- Dependencies Conflicts HOT 14
- Error when passing a reference_speaker in read_texts function after installing Toucan as described in issue #171 HOT 21
- Error when trying to run an example with Kyrgyz HOT 2
- License clarification for dataset and weights HOT 2
- Typographical Error in README.md HOT 1
- NO module name Architectures. I am trying to train on a new language. HOT 13
- Inquiry about Testing for Chinese Dialects HOT 2
- Voice cloning not working HOT 3
- unable to do voice cloning with arabic HOT 3
- I am not able to find Indian-english accent ("en-in"). HOT 1
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