Auditory Models for Speech Analysis

Abstract

This paper reviews the psychophysical basis for auditory models and discusses their application to automatic speech recognition. First an overview of the human auditory system is presented, followed by a review of current knowledge gleaned from neurological and psychoacoustic experimentation. Next, a general framework describes established peripheral auditory models which are based on well-understood properties of the peripheral auditory system. This is followed by a discussion of current enhancements to that models to include nonlinearities and synchrony information as well as other higher auditory functions. Finally, the initial performance of auditory models in the task of speech recognition is examined and additional applications are mentioned. Keywords: Natural language, Speech processing.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA197322

Entities

People

  • Mark T. Maybury

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Bandpass Filters
  • Brain
  • Computer Programming
  • Detection
  • Detectors
  • Doppler Effect
  • Ear
  • Filters
  • Frequency Response
  • Intensity
  • Language
  • Natural Languages
  • Perception
  • Recognition
  • Rodents
  • Warning Systems

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design

Technology Areas

  • AI & ML