Speech Enhancement Using a Soft-Decision Maximum Likelihood Noise Suppression Filter.

Abstract

One way of enhancing speech in an additive acoustic noise environment is to perform a spectral decomposition of a frame of noisy speech and to attenuate a particular spectral line depending on how much the measured speech plus noise power exceeds an estimate of the background noise. Using a two state model for the speech event (speech absent or speech present) and determining the maximum likelihood estimator of the speech power results in a new class of suppression curves which permits a tradeoff of noise suppression against speech distortion. The algorithm has been implemented in real time in the time domain, exploiting the structure of the channel vocoder. Extensive testing has shown that the noise can be made imperceptible by proper choice of the suppression factor. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 19, 1979
Accession Number
ADA074082

Entities

People

  • Marilyn L. Malpass
  • Robert J. Mcaulay

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Background Noise
  • Decomposition
  • Detection
  • Detectors
  • Distortion
  • Estimators
  • Filters
  • Filtration
  • Frequency
  • Information Science
  • Microphones
  • Probability
  • Probability Density Functions
  • Spectral Lines
  • Speech
  • Time Domain

Readers

  • Computer Vision.
  • Speech Processing/Speech Recognition.
  • Statistical inference.