NDLI: Accurate compensation in the log-spectral domain for noisy speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Afify, M.
Copyright Year	1993
Abstract	This paper presents a new algorithm for noise compensation in the log-spectral domain. We first note that using a Gaussian mixture assumption a compensation algorithm in the log-spectral domain is completely defined by three parameters for each Gaussian component: the noisy speech mean, the noisy speech variance, and the covariance of clean and noisy speech. Starting from a well known mismatch function we propose two new approximations which allow deriving analytical expressions for the above mentioned parameters, and hence develop a new noise compensation algorithm in the log-spectral domain. In addition to theoretical derivations we discuss implementation issues of the proposed method and analyze its computational complexity. Experimental results for digit recognition in the car reveal that the proposed technique significantly outperform the baseline, and first order VTS. For example at 10 db signal to noise ratio the baseline, first order VTS, and the proposed method lead to recognition accuracies 82.6%, 85.5%, and 90.1%. The superiority of the proposed method to VTS can be attributed to the accuracy of the employed approximations. The compensation algorithm is also found to be more accurate and faster than an approximate numerical integration technique.
Starting Page	388
Ending Page	398
Page Count	11
File Size	309350
File Format	PDF
ISSN	10636676
Volume Number	13
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Gaussian noise Noise robustness Speech enhancement Statistics Taylor series Additive noise Distortion measurement Mel frequency cepstral coefficient Algorithm design and analysis vector Taylor series Log-spectral domain noise compensation robust speech recognition
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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