keonlee9420/Cross-Speaker-Emotion-Transfer
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
This project helps content creators, voice actors, or anyone needing synthetic speech to generate audio that conveys specific emotions. You provide text and either a reference audio with the desired emotion or an emotion ID. The output is a new audio file where the provided text is spoken with the transferred emotion. This is useful for anyone creating voiceovers, audiobooks, or virtual assistants needing expressive speech.
194 stars. No commits in the last 6 months.
Use this if you need to generate synthetic speech where you can precisely control the emotional tone, using either an example audio or a predefined emotion.
Not ideal if you simply need basic text-to-speech without advanced emotional control, or if your primary need is real-time voice modification.
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194
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26
Language
Python
License
MIT
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Last pushed
Nov 09, 2022
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