Dynamic Spectral Subtraction on AWGN Speech

Meher, Sukanya Sagarika and Ananthakrishna, T (2015) Dynamic Spectral Subtraction on AWGN Speech. In: International Conference on Signal Processing and Integrated Networks (SPIN), 19/02/2015, Amity University, Noida, NCR-Delhi, Uttar Pradesh.

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Abstract

To enable accurate exchange of information or data, the quality and intelligibility of speech play an important factor.However, pragmatically the quality of speech is distorted by the presence of background noise. This in turn leads to poor performance of the system as well as causes listener fatigue.To resolve such ambiguity we apply speech enhancement algorithms which improve the intelligibility as well as quality of speech which has been degraded by background noise. In this paper two such algorithms have been discussed for noise reduction. One is conventional spectral subtraction method and the other is the proposed modified version of spectral subtraction. While the former aims to improve speech quality degraded by additive background noise, the latter aims to improve speech quality from dynamic additive noise as well. Modified noise reduction algorithm is compared to conventional spectral subtraction based on SNR improvement introduced by them.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: speech enhancement, spectral subtraction, magnitude spectrum, estimated noise, residual noise
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 11 Jan 2016 09:31
Last Modified: 11 Jan 2016 09:31
URI: http://eprints.manipal.edu/id/eprint/145027

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