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Unlike other data modalities such as text and vision, speech does not lenditself to easy interpretation. While lay people can understand how to describean image or sentence via perception, non-expert descriptions of speech oftenend at high-level demographic information, such as gender or age. In thispaper, we propose a possible interpretable representation of speaker identitybased on perceptual voice qualities (PQs). By adding gendered PQs to thepathology-focused Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V)protocol, our PQ-based approach provides a perceptual latent space of thecharacter of adult voices that is an intermediary of abstraction betweenhigh-level demographics and low-level acoustic, physical, or learnedrepresentations. Contrary to prior belief, we demonstrate that these PQs arehearable by ensembles of non-experts, and further demonstrate that theinformation encoded in a PQ-based representation is predictable by variousspeech representations.

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities