NDLI: The spectral subtractive-type algorithms for enhancing speech in noisy environments

Content Provider	IEEE Xplore Digital Library
Author	Upadhyay, N. Karmakar, A.
Copyright Year	2012
Description	Author affiliation: Electrical & Electronics Engineering Department, Birla Institute of Technology & Science, Pilani - 333031, India (Upadhyay, N.) \|\| Integrated Circuit Design Group, Central Electronics Engineering Research Institute, Pilani - 333031, India (Karmakar, A.)
Abstract	The spectral subtraction is a traditional approach for enhancing the quality of speech degraded by environmental noise. This algorithm is based on the subtraction of the estimated noise spectrum from the noisy speech spectrum and combines it with the phase of the noisy speech. Besides suppressing the noise, this method introduces an unnatural and unpleasant remnant noise. Several variants of this algorithm have been adapted over the years to address its shortcomings, mainly the quality of the remnant noise and its trade-off with speech distortion. This paper presents a comparative performance analysis of different spectral subtractive-type single channel speech enhancement algorithms and experimental results show that the modified forms of spectral subtraction efficiently reduce the remnant noise and improve signal-to-noise ratio.
Starting Page	841
Ending Page	847
File Size	518061
Page Count	7
File Format	PDF
ISBN	9781457706943
e-ISBN	9781457706974
DOI	10.1109/RAIT.2012.6194534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remnant noise Noise estimation Wiener filter Estimation Speech enhancement Speech Spectral subtractive-type algorithms Noise measurement Signal to noise ratio
Content Type	Text
Resource Type	Article

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