Labmem-Zhouyx/CDFSE_FastSpeech2
The Official Implementation of “Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis”
This project helps speech researchers and voice engineers generate high-quality, natural-sounding synthetic speech that matches a specific speaker's voice, even if that speaker's voice hasn't been heard before. You provide text and a short sample of a speaker's voice, and it outputs an audio file of that text spoken in the provided voice. This is ideal for researchers developing advanced text-to-speech systems.
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Use this if you need to create synthetic speech that precisely mimics an unseen speaker's voice, based on just a short audio reference.
Not ideal if you're looking for an off-the-shelf text-to-speech tool for general use without requiring deep customization or research.
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Language
Python
License
MIT
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Last pushed
Dec 20, 2022
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