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- W1052694159 abstract "Spectral subtraction is widely-used preprocessing technique for speech recognition in additive noise environments, but it requires a good estimate of the noise power spectrum. In this paper, we employ the histogram technique for the estimation of noise spectrum. This technique has advantages over other noise estimation methods in that it does not requires speech/non-speech detection and can estimate slowly-varying noise spectra. According to the speaker-independent isolated word recognition in both colored Gaussian and car noise environments under various SNR conditions. Histogram-technique-based spectral subtraction method yields superier performance to the one with conventional noise estimation method using the spectral average of initial frames during non-speech period." @default.
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- W1052694159 date "1997-01-01" @default.
- W1052694159 modified "2023-09-28" @default.
- W1052694159 title "Speech Recognition in Noisy Environments using the NOise Spectrum Estimation based on the Histogram Technique" @default.
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