Noise Suppression Methods for Robust Speech Processing

Abstract

Robust speech processing in practical operating environments requires effective environmental and processor noise suppression. This report describes the technical findings and accomplishments during this reporting period for the research program funded to develop real time, compressed speech analysis- synthesis algorithms whose performance is invariant under signal contamination. Fulfillment of this requirement is necessary to insure reliable secure compressed speech transmission within realistic military command and control environments. Overall contributions resulting from this research program include the understanding of how environmental noise degrades narrow band, coded speech, development of appropriate real time noise suppression algorithms, and development of speech parameter identification methods that consider signal contamination as a fundamental element in the estimation process. Through the appropriate integration of developed noise suppression-parameter identification algorithms, specifications for robust speech processing algorithms will be provided.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA041337

Entities

People

  • Steven F. Boll

Organizations

  • University of Utah

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Background Noise
  • Communication Systems
  • Computer Science
  • Contamination
  • Data Compression
  • Databases
  • Environment
  • Frequency
  • Gaussian Noise
  • Generators
  • Graphics
  • Information Processing
  • Noise Reduction
  • Security
  • Signal Processing
  • Speech Analysis

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control