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Communication Dans Un Congrès Année : 2021

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

Résumé

This study presents insights into the discrimination of two consonants presented in vowel-consonant-vowel (VCV) words embedded in speech-shaped noise (SSN) 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 sentences in closed-and open-sets. 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.

Domaines

Linguistique
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Dates et versions

hal-03345050 , version 1 (15-09-2021)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

  • HAL Id : hal-03345050 , version 1

Citer

Alejandro Osses, Léo Varnet. Consonant-in-noise discrimination using an auditory model with different speech-based decision devices. DAGA, Aug 2021, Vienne, Austria. pp.298-301. ⟨hal-03345050⟩
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