VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS
Instruction-following text-to-speech (TTS) typically leaves voice design implicit, as conventional speaker embeddings encode reference audio rather than text-driven targets. We propose VoTSpeech, which decouples voice design from speech generation via an explicit intermediate voice latent. Built on a shared language model backbone, VoTSpeech first predicts a continuous voice latent from text instructions using a flow-based module. This latent serves as a shared condition for both the language model and the Acoustic DiT, guiding autoregressive sequence modeling and acoustic latent generation, respectively, before an audio VAE decoder converts the acoustic latents into waveforms. To capture...
| Authors | Wenbing Yang, Qihang Lu, Zihan Sun et al. |
|---|---|
| Primary category | cs.SD |
| Published | 10 October 2026 |
| Last updated at source | 10 October 2026 |
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