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    Home»Development»Machine Learning»Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect

    Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect

    June 5, 2025

    Perceptual voice quality dimensions describe key characteristics of atypical speech and other speech modulations. Here we develop and evaluate voice quality models for seven voice and speech dimensions (intelligibility, imprecise consonants, harsh voice, naturalness, monoloudness, monopitch, and breathiness). Probes were trained on the public Speech Accessibility (SAP) project dataset with 11,184 samples from 434 speakers, using embeddings from frozen pre-trained models as features. We found that our probes had both strong performance and strong generalization across speech elicitation…

    Source: Read More 

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