EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis
Psychological research on emotion dynamics has established that human affect is a continuous, evolving process: emotions rise, decay, and transition within seconds. Current emotional text-to-speech (TTS) systems, however, condition on a single discrete label or static embedding per utterance, fundamentally misaligning with the temporal nature of affect. While recent LLM-based TTS systems may implicitly vary prosody through text understanding, such variation is neither explicitly controllable nor precise enough for targeted intra-utterance transitions. We address three challenges: (1) a multi-pass flow blending pipeline synthesizes frame-aligned transition audio, circumventing the scarcity...
| Authors | Tianchi Liu, Zeyang Song, Tianrui Wang et al. |
|---|---|
| Primary category | eess.AS |
| Published | 24 August 2026 |
| Last updated at source | 24 August 2026 |
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