Zero-Shot Multi-Speaker TTS
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Zero-Shot Multi-Speaker TTS
Emilia Dataset
Most implemented papers
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
coqui-ai/TTS
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YourTTS brings the power of a multilingual approach to the task of zero-shot multi-speaker TTS.
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS
Flow-based generative models are widely used in text-to-speech (TTS) systems to learn the distribution of audio features (e. g., Mel-spectrograms) given the input tokens and to sample from this distribution to generate diverse utterances.
XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
Edresson/ZS-TTS-Evaluation
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Most Zero-shot Multi-speaker TTS (ZS-TTS) systems support only a single language.
