A Variance Detector for Signal-Gap Discrimination in Noisy Speech Channels.
Technical rept. Aug-Sep 84,
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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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
- Voice Communications