Lost in Phonation: Voice Quality Variation as an Evaluation Dimension for Speech Foundation Models
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Shared by Gary on Oct 31, 2025 • 04:02 AM UTC
NobleBlocks IDNB7647912A
Abstract
Recent advances in speech foundation models (SFMs) have enabled the direct processing of spoken language from raw audio, bypassing intermediate textual representations. This capability allows SFMs to be exposed to, and potentially respond to, rich paralinguistic variations embedded in the input spee...
Highlights
-First systematic study of SFM behaviour under controlled phonation variation.
-Introduces VQ-Bench; a corpus with modal, breathy, creaky, and end-creak phonation variants for parallel prompts.
-Open-ended generation tasks and SER are used to probe paralinguistic sensitivity in speech foundation models.
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