Consonant-in-noise discrimination using an auditory model with different speech- based decision devices

Tag / Zeit: 17.08.2021, 17:40-18:00
Raum: Schubert 1+2
Typ: Regulärer Vortrag
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Zusammenfassung: This study presents insights into the discrimination of two consonants presented in vowel-consonant-vowel (VCV) words embedded in speech-shaped noise by adopting an auditory model that uses a modulation filter bank front-end followed by either of two speech back-end decision modules from the literature. These decision modules have been validated in the past for the discrimination of: (1) closed-sets of CVC and VCV words (back-end 1), and (2) open-set sentences (back-end 2). Our analysis is focused on the discrimination cues available to the model, evaluating whether these cues might be further used to simulate listener-dependent performance. For that purpose we will rely on a reverse-correlation approach by comparing the noise representations that lead to the choice of one or the other consonant.