Presentation	1999/12/20 Noisy Speech Recognition Using Noise Reduction Method Based on Kalman Filter Masakiyo Fujimoto, Yasuo Ariki,
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Abstract(in English)	In this paper, we propose a noise reduction method based on Kalnlan filter for noisy speech recognition. Since Kalman filter needs a huge quantity of computation, it was never used for real time processing. We propose a noise reduction method using fast Kalman filter which can reduce a large quantity of computation and achieve processing in 1.5～2.O times of real time, without loosing the accuracy. In order to evaluate the proposed method, we carried out experiments to extract clean speech signal from noisy speech and compared the results by our method with conventional Spectral Subtraction and Parallel Model Combination(PMC) in word recognition accuracy. As a result, the proposed method obtained word recognition rate equal or superior to PMC.
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Paper #	NLC99-105
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Committee	NLC
Conference Date	1999/12/20(1days)
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Registration To	Natural Language Understanding and Models of Communication (NLC)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Noisy Speech Recognition Using Noise Reduction Method Based on Kalman Filter
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1st Author's Name	Masakiyo Fujimoto
1st Author's Affiliation	()
2nd Author's Name	Yasuo Ariki
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Date	1999/12/20
Paper #	NLC99-105
Volume (vol)	vol.99
Number (no)	523
Page	pp.pp.-
#Pages	6
Date of Issue