Speech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelation

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Title Speech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelation
Author Shannon, Ben James; Paliwal, Kuldip Kumar; Nadeu, Climent
Publication Title Proceedings of the NInth International Conference on Spoken Language Processing
Editor Richard M. Stern
Year Published 2006
Place of publication Bonn Germany
Publisher ISCA c/o Institute for Communication, University of Bonn
Abstract In this paper, we propose a unique approach to enhance speech signals that have been corrupted by non-stationary noises. This approach is not based on a spectral subtraction algorithm, but on an algorithm that separates the speech signal and noise signal contributions in the autocorrelation domain. We call this technique the AR-HASE speech enhancement algorithm. In this initial study, we evaluate the performance of the new algorithm using the average PESQ score computed from 10 male utterances and 10 female utterances taken from the TIMIT database as a measure of speech quality. We test the algorithm using one broadband stationary noise and two non-stationary noises. We will show that the AR-HASE enhancement algorithm produces near transparent quality for clean speech, gives poor enhancement performance for broadband stationary noises, and gives significantly enhanced quality for the two nonstationary noises.
Peer Reviewed Yes
Published Yes
Publisher URI http://interspeech2006.org/
Alternative URI http://www.isca-speech.org/archive/interspeech_2006/
Conference name Interspeech 2006
Location Pittsburgh
Date From 2006-09-17
Date To 2006-09-21
URI http://hdl.handle.net/10072/13318
Date Accessioned 2007-03-18
Date Available 2009-09-21T05:47:35Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Speech Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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