DocumentCode :
839156
Title :
The effect of additive noise on speech amplitude spectra: a quantitative analysis
Author :
Zhu, Qifeng ; Alwan, Abeer
Author_Institution :
Henry Samueli Sch. of Eng. & Appl. Sci., California Univ., Los Angeles, CA, USA
Volume :
9
Issue :
9
fYear :
2002
Firstpage :
275
Lastpage :
277
Abstract :
This article analyzes the effect of additive noise on speech amplitude spectra, and introduces a method to estimate speech spectra from noisy observations. Estimated spectra are used to compute the Mel-frequency cepstral coefficients as a recognition front-end. Compared to linear spectral subtraction, this technique improves the performance of digit recognition in noise.
Keywords :
cepstral analysis; noise; speech processing; speech recognition; HMM-based system; Mel-frequency cepstral coefficients; additive noise; automatic speech recognition; digit recognition; linear spectral subtraction; noisy observations; speech amplitude spectra; speech recognition front-end; Acoustic noise; Additive noise; Automatic speech recognition; Cepstral analysis; Frequency; Hidden Markov models; Noise level; Random variables; Speech analysis; Speech enhancement;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2002.801722
Filename :
1040268
Link To Document :
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