Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech
LLM-based text-to-speech (TTS) models can generate emotionally expressive speech, but how reference emotion is routed through the model and realized in decoded speech remains unclear. We introduce two emotion-sensitive metrics for matched neutral and emotional syntheses---a codec trajectory score and a late residual direction score---and use them to score activation-patching interventions. Under controlled matched-reference conditions, this analysis identifies a sparse source-to-readout component-level circuit: 23--27 attention heads and MLPs per emotion, roughly 5% of the components considered, recover or suppress 74--88% of the late emotion-readout shift on held-out cases. The circuit c...
| Authors | Hongfei Du, Jiacheng Shi, Yanfu Zhang et al. |
|---|---|
| Primary category | cs.SD |
| Published | 4 October 2026 |
| Last updated at source | 4 October 2026 |
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