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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9509

Title: Investigation of a Method of Speech Signal Analysis Using Empirical Mode Decomposition and Its Applications
Authors: Sawaguchi, Tomoki
Unoki, Masashi
Keywords: EMD
Issue Date: 2010-07
Publisher: Research Institute of Signal Processing Japan
Magazine name: Journal of Signal Processing
Volume: 14
Number: 4
Start page: 273
End page: 276
Abstract: In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) have been proposed in the field of speech signal processing. However, these methods cannot effectively reduce noise components from noisy speech they lack useful prior knowledge related to the noise characteristics. Moreover, because they reduce only the higher frequency components of noise, the overall effect on noise reduction seems to be insufficient. Our aim was to develope a speech signal analysis method that can adequately analyze non-stationary speech signalsin time-frequency domains. We investigated the propertiesof an analysis method for non-stationary signals based on EMD and the characteristics of AM-FM representations in the intrinsic mode function (IMF) and have subsequently developed a method of noise reduction based on our investigations. Simulations were conducted to determine whether or not the proposed method can effectively reduce noise components from noisy speech. Results demonstrate that it can do so adequately.
Rights: Copyright (C) 2010 Research Institute of Signal Processing Japan. Tomoki Sawaguchi and Masashi Unoki, Journal of Signal Processing, 14(4), 2010, 273-276.
URI: http://hdl.handle.net/10119/9509
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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