Seed-TTS
Emerging4papers using it
2025first seen
The 'Seed-TTS' benchmark contains a dataset used to evaluate the performance of text-to-speech systems, particularly in terms of their ability to produce high-fidelity speech synthesis.
Papers using Seed-TTS (4)
- VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and ExtrapolationSemaVoice: Semantic-Aware Continuous Autoregressive Speech SynthesisARCHI-TTS: A flow-matching-based Text-to-Speech Model with Self-supervised Semantic Aligner and Accelerated InferenceM3-TTS: Multi-modal DiT Alignment & Mel-latent for Zero-shot High-fidelity Speech Synthesis