The Development of a Computer Speech Processing System and Its Use for the Study and Development of Processing Methods for Enhancing the Intelligibility of Speech in Noise.

Abstract

This report describes results of an examination of four methods for processing speech so as to enhance its intelligibility in the presence of wideband random noise at the source. The four methods were: (1) INTEL, a method which involves processing in both the first and second order spectral domains; (2) Spectral subtraction, which involves a simple subtraction of the average noise spectrum from the first-order spectrum; (3) Minimum mean square error filtering, which involves filtering speech in such a way as to minimize the mean square error between a signal and its expected value in noise; and (4) Methods based upon suppressing the frequency content of a speech plus noise signal between pitch harmonics of the speech signal. To carry out a study of methods of enhance speech intelligibility in noise, two general-purpose computer processing systems were implemented. The first, a terminal interactive system for generation, analysis, and graphic display of synthetic voiced speech sounds, provided considerable insight into the effect of various processing algorithms upon speech and upon speech in noise. The second computer processing system has been developed for the processing of real speech. It involves use of a DDP-116 data converter and a Honeywell 6000 Computer.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA047240

Entities

People

  • Robert A. Curtis
  • Russell J. Niederjohn

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Programs
  • Computers
  • Converters
  • Demographic Cohorts
  • Engineering
  • Filtration
  • Frequency
  • Human Factors Engineering
  • Magnetic Tape
  • Operating Systems
  • Plastic Explosives
  • Signal Processing
  • Speech
  • Speech Analysis
  • United States

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computer Science.
  • Speech Processing/Speech Recognition.