Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2005-10-25
2005-10-25
McFadden, Susan (Department: 2655)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S266000, C704S203000, C379S406100
Reexamination Certificate
active
06959277
ABSTRACT:
In a conventional device for extracting voice features accurately without being influenced by noises, such as a voice recognition device, usually an input voice signal is processed first by a noise reduction system having the tap length N, and the result is FFT-processed by L-points, and then the power spectrum vector is calculated; accordingly, a one time operation requires N multiplications and (N−1) summations. The voice feature extraction device according to the invention receives a voice signal including noises from a microphone, which is processed by a window function operation unit, and thereafter FFT-processed by an FFT operation unit by L-points. A power calculation unit calculates a power spectrum vector of the input voice signal. However, a noise reduction system determines in advance a filter coefficient of this system and processes the coefficient to calculate a noise reduction coefficient, and the power spectrum vector is processed by this noise reduction system. Thereby, the voice feature extraction device of the invention reduces the processing volume to 1/(4N−2) in comparison to the conventional device, lightens the processing load of the processing unit, and increases the processing speed.
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Asano Toshiaki
Kiuchi Shingo
Saito Nozomu
Alpine Electronics Inc.
Brinks Hofer Gilson & Lione
McFadden Susan
Vo Huyen X.
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