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Quantifying the effect of speech pathology on automatic and human speaker verification

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arxiv 2406.06208 v1 pith:2JJT63JH submitted 2024-06-10 cs.SD eess.AS

classification cs.SDeess.AS
keywords speechperformancespeakerhumanpathologyperceptualseverityautomatic
verification ladder T0 review T1 audit T2 compute T3 formal

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This study investigates how surgical intervention for speech pathology (specifically, as a result of oral cancer surgery) impacts the performance of an automatic speaker verification (ASV) system. Using two recently collected Dutch datasets with parallel pre and post-surgery audio from the same speaker, NKI-OC-VC and SPOKE, we assess the extent to which speech pathology influences ASV performance, and whether objective/subjective measures of speech severity are correlated with the performance. Finally, we carry out a perceptual study to compare judgements of ASV and human listeners. Our findings reveal that pathological speech negatively affects ASV performance, and the severity of the speech is negatively correlated with the performance. There is a moderate agreement in perceptual and objective scores of speaker similarity and severity, however, we could not clearly establish in the perceptual study, whether the same phenomenon also exists in human perception.

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  1. ClaritySpeech: Dementia Obfuscation in Speech

    cs.CL 2025-07 conditional novelty 6.0 of 10

    An ASR, text-obfuscation, and zero-shot TTS pipeline lowers automatic dementia detection in speech by 10 to 16 percent F1 while improving intelligibility, with only moderate speaker similarity.

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