A Geometric Perspective on Composable Emotion Steering in Text-to-Speech Models
While prior work has explored emotion control in hybrid text-to-speech systems, the geometric properties of these modules, and their implications for steerability, remain poorly understood. We present the first comparative study of speech language model (SLM) and conditional flow-matching (CFM) modules as activation steering sites for mixed emotion speech synthesis. We first characterize emotion representations using linear probing and local intrinsic dimensionality (LID), and then evaluate single-site and joint steering for mixed-emotion synthesis. Our results show that SLM offers a clean, low-dimensional emotion-specific subspace with strong speaker--emotion disentanglement, while CFM e...
| Authors | Siyi Wang, James Bailey, Ting Dang |
|---|---|
| Primary category | cs.SD |
| Published | 1 July 2026 |
| Last updated at source | 1 July 2026 |
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