Vowel processing by a model of the auditory periphery: A comparison to eighth-nerve responses

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Abstract
A model of peripheral auditory processing that incorporates processing steps describing the conversion from the acoustic pressure-wave signal at the eardrum to the time course activity in auditory neurons has been developed. It can process arbitrary time domain waveforms and yield the probability of neural firing. The model consists of a concatenation of modules, one for each anatomical section of the periphery. All modules are based on published algorithms and current experimental data, except that the basilar membrane is assumed to be linear. The responses of this model to vowels alone and vowels in noise are compared to neural population responses, as determined by the temporal and average rate response measures of Sachs and Young [J. Acoust. Soc. Am. 66, 470-479, (1979)] and Young and Sachs [J. Acoust. Soc. Am. 66, 1381-1403, (1979)]. Despite the exclusion of nonlinear membrane mechanics, the model accurately predicts the vowel formant representations in the average localized synchronized rate (ALSR) responses and the saturating characteristics of the normalized average rate responses in quiet. When vowels are presented in background noise, the modeled ALSR responses are less robust than the neural data.

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