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A composite auditory model for processing speech sounds.

L Deng1, C D Geisler

  • 1Department of Neurophysiology, University of Wisconsin, Madison 53706.

The Journal of the Acoustical Society of America
|December 1, 1987
PubMed
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This summary is machine-generated.

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This study presents a new inner ear model that accurately simulates auditory nerve responses to speech. The nonlinear basilar membrane (BM) stage is key to replicating how the ear processes complex sounds, even in noisy conditions.

Area of Science:

  • Auditory Neuroscience
  • Computational Auditory Neuroscience
  • Bioacoustics

Background:

  • Understanding auditory nerve-fiber responses is crucial for modeling hearing.
  • Previous models often simplified the complex mechanics of the basilar membrane (BM).

Purpose of the Study:

  • To develop and validate a composite inner-ear model incorporating a nonlinear basilar membrane (BM) stage.
  • To assess the model's ability to replicate experimentally recorded auditory nerve responses to speech.
  • To investigate the role of BM nonlinearity in processing speech, including in noisy environments.

Main Methods:

  • A composite inner-ear model was constructed, including the middle ear, basilar membrane (BM), hair cells, and synapses.
  • The model featured both linear and nonlinear BM stages for comparison.

Related Experiment Videos

  • Model outputs were analyzed for responses to speech and speech in noise, employing a cross-channel correlation algorithm.

    • Main Results:

    • The nonlinear BM model successfully reproduced qualitative aspects of cat auditory-nerve-fiber responses to speech.
    • BM nonlinearity enabled synchronized firing of fiber bands to spectral peaks in speech stimuli.
    • A cross-channel correlation algorithm applied to the nonlinear model showed reduced correlation at channels matching formant frequencies, even with noise.

    Conclusions:

    • The nonlinear basilar membrane (BM) is essential for accurately modeling auditory nerve responses to speech.
    • BM nonlinearity facilitates the synchronization of neural activity to spectral features of speech, aiding sound perception.
    • The developed model and cross-channel correlation algorithm offer insights into auditory processing of speech, particularly in challenging acoustic conditions.