Accession Number:

ADA159227

Title:

A Variance Detector for Signal-Gap Discrimination in Noisy Speech Channels.

Descriptive Note:

Technical rept. Aug-Sep 84,

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1985-05-01

Pagination or Media Count:

22.0

Abstract:

This report documents a program written for post- FFT processor activitygap detection in noisy speech communication channels. The algorithm used is based on the assumption that the variance of the logs of the frequency-domain magnitudes of a signal is greater than the corresponding variance of the channel noise. Trade-offs between Type I and Type II errors can be controlled with and interactively defined program parameters. Parameters were found to yield a 16 missed detection rate with a 5 false alarm rate, performance entirely acceptable in speech compression applications. Some problems were encountered with sibilate detection, due to the close relationship between these sounds and white noise. Author

Subject Categories:

  • Cybernetics
  • Voice Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE