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All these AI text to voice models seem to ignore emotion. It always sounds like a robot.


I wonder if AI could create a "commentary" script that instructs the TTS how to read certain words or chapters. The commentary would be like an additional meta-track to help the TTS make the best reading.

That should actually be possible to do already with existing tech. I haven't seen if you can instruct Kokoro to read in a certain way, does anyone know if this is possible?


Like with almost everything, its an active area of research:

https://emosphere-tts.github.io/

We are getting there


Some of those samples sound like they are emoting in Korean while speaking English.


True, maybe an artifact of the training data, here is another one:

https://www.microsoft.com/en-us/research/project/emoctrl-tts...


Try this one https://www.hume.ai/ - I found the demos (voice to voice) interesting.


Emotion is the acting part of voice acting. Hard to copy with AI




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