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Erschienen in:
2008 | OriginalPaper | Buchkapitel
AMS Based Spectrum Subtraction Algorithm with Confidence Interval Test
verfasst von : Xin Ma, Weidong Zhou
Erschienen in: 7th Asian-Pacific Conference on Medical and Biological Engineering
Verlag: Springer Berlin Heidelberg
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Amplitude Modulation spectrogram (AMS) can reflect the orthogonality between the “periodotopical” organization and the tonotopical organization in neurons, and can be used as a reliable discrimination between speech and noise. This paper presents a novel approach of robust speech recognition by using AMS and Spectrum Subtraction with Confidence Interval Test. By dynamic using Confidence Interval Test, the error of estimated SNR was decreased. Experiment results show the proposed method yield good performance for attenuating the effect of noises and can improve the robustness of ASR.