CapTalk unifies single-utterance and dialogue voice design via utterance- and speaker-level captions plus a hierarchical variational module for stable timbre with adaptive expression.
Towards con- trollable speech synthesis in the era of large language models: A survey
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
TokenChain demonstrates that a discrete semantic-token interface can sustain effective chain learning between ASR and TTS, yielding faster convergence and lower error rates on LibriSpeech and TED-LIUM.
FC-TTS presents a zero-shot TTS framework that integrates disentangled speech representations with architectural choices, training framework, and auxiliary objectives to enable independent style and timbre control from distinct references.
citing papers explorer
-
CapTalk: Unified Voice Design for Single-Utterance and Dialogue Speech Generation
CapTalk unifies single-utterance and dialogue voice design via utterance- and speaker-level captions plus a hierarchical variational module for stable timbre with adaptive expression.
-
TokenChain: A Discrete Speech Chain via Semantic Token Modeling
TokenChain demonstrates that a discrete semantic-token interface can sustain effective chain learning between ASR and TTS, yielding faster convergence and lower error rates on LibriSpeech and TED-LIUM.
-
FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations
FC-TTS presents a zero-shot TTS framework that integrates disentangled speech representations with architectural choices, training framework, and auxiliary objectives to enable independent style and timbre control from distinct references.