Apparatus and method for detecting glass break
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United States of America Patent
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Dec 10, 2002
Grant Date -
N/A
app pub date -
Dec 18, 1999
filing date -
Dec 18, 1999
priority date (Note) -
Expired
status (Latency Note)
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Abstract
A glass break detector is disclosed that uses a neural network to determine if an audio signal is breaking glass. A characteristic extraction unit is used to extract a set of signal characteristics from a time domain signal based on the audio signal. The set of signal characteristics is the set of the magnitudes of the discrete Fourier transform coefficients of an acquired time domain signal, or the Fourier transform coefficients themselves. A classifier is connected to the characteristic extraction unit. It is a two-layer neural network that uses the set of signal characteristics to accurately determine whether the acquired time domain signal represents breaking glass.
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