ParaGeo: Decomposing Paralinguistic Variation into a Shared Latent Geometry
Speech delivery varies with both the requested paralinguistic attribute and the linguistic content. We introduce ParaGeo, a matched-content decomposition of paralinguistic variation in a frozen speech language model. Synthesized audio tokens are replayed with a fixed listening prompt; pooled key/value (K/V) representations are centered and projected into a shared low-dimensional space. Our GLM-4-Voice probe spans 80 requested controls from 12 benchmark families across eight sentences. With a globally fitted calibration basis, content-held-out centroid accuracy using this basis is 9.49% versus a 1.25% permutation baseline; same-label cross-content cosine similarity is 0.285 versus 0.017, a...
| Authors | Yuhan Liu, Yuxuan Ou, Ruoxi Su et al. |
|---|---|
| Primary category | cs.SD |
| Published | 2 October 2026 |
| Last updated at source | 2 October 2026 |
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