Trial-by-Trial Analysis of Phoneme-in-Noise Perception using a Model of Monaural Auditory Processing
Résumé
In this presentation we provide insights into the discrimination of vowel-consonant-vowel (VCV) words embedded in white noise and speech-shaped noise by adopting an auditory model that uses a modulation filter bank front-end and a speech back-end decision module. Our analysis is focused on the discrimination cues available to the model and their interaction with specific processing stages in the model, evaluating whether these cues might be further used to simulate listener-dependent performance. For that purpose we rely on a reverse-correlation approach by comparing the noise representations that lead to the choice of one or other consonant.
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