NDLI: Noise reduction based on microphone array and post-filtering for robust speech recognition

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Noise reduction based on microphone array and post-filtering for robust speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Junfeng Li Masato Akagi Yoiti Suzuki
Copyright Year	2006
Description	Author affiliation: Res. Inst. of Electr. Commun., Tohoku Univ., Sendai (Junfeng Li)
Abstract	This paper proposes a noise reduction system using microphone array and post-filtering to improve the recognition accuracy and robustness of hands-free speech recognition systems in adverse environments. In this research, we suppose that undesired noises are of localized and non-localized noise components. To deal with localized noise, we propose a hybrid noise estimation technique and a robust and accurate speech absence probability estimator to calculate the spectra of localized noise, which is further reduced by spectral subtraction. To deal with non-localized noise, we propose a hybrid post-filter with an assumption of a diffuse noise field. Speech recognition results show that the proposed noise reduction algorithm outperforms the other traditional algorithms in the tested noisy conditions
File Size	128445
File Format	PDF
ISBN	0780397363
DOI	10.1109/ICOSP.2006.345515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microphone arrays Noise reduction Noise robustness Speech recognition Working environment noise Wiener filter Sensor arrays Speech enhancement Additive noise Information science
Content Type	Text
Resource Type	Article

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