The Performance of an Isolated Word Recognizer Using Noisy Speech.

Abstract

This report investigates the effects of noise on a speaker dependent, isolated work recognition system. Correct word recognition in a noise-free environment exists in a variety of present-day applications. However, when the acoustic environment includes noise, the problem of correct word recognition becomes more difficult. The noise interferes with the accurate location of the work boundaries and also distorts the spectral representation of the speech waveform. A series of experiments were performed to determine (1) the effects of using an energy-based endpoint detector and a conventional isolated word recognition system when the input speech is noisy and (2) the effects of placing a noise suppression prefilter in tandem with the word recognizer in an attempt to remove the noise prior to recognition. It was found that the system consisting of the prefilter working in tandem with the word recognizer increased word recognition accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Apr 13, 1983
Accession Number
ADA128983

Entities

People

  • Gary Neben

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Background Noise
  • Boundaries
  • Computer Science
  • Computers
  • Detection
  • Detectors
  • Electrical Engineering
  • Environment
  • Massachusetts
  • Recognition
  • Signal Processing
  • United States
  • Waveforms
  • Word Recognition

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design