DocumentCode :
3369449
Title :
Weak speech recovery for single-channel speech enhancement
Author :
Ming, A.W.K. ; Siow Yong Low
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Miri, Malaysia
Volume :
2
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
627
Lastpage :
631
Abstract :
Numerous speech enhancement strategies have been proposed to counteract the background noise present in communication and thus improve speech quality. However, such an improvement does not imply an improvement in speech intelligibility. Therefore, the issue become challenging especially it concerns single-channel situations. In this study, we present an approach to improve both speech quality and intelligibility, that is to recover weak speech. Here, weak speech is determined based on the pitch estimation and signal to noise ratio (SNR). With both parameters, we review the methodology of spectral subtraction and pitch estimation and then explore the possibility of improving the speech by incorporating the pitch information.
Keywords :
speech enhancement; speech intelligibility; SNR; background noise; pitch estimation; signal to noise ratio; single-channel speech enhancement strategy; spectral subtraction methodology; speech intelligibility; speech quality; weak speech recovery; Noise measurement; Signal to noise ratio; Spectrogram; Speech; Speech enhancement; intelligibility; pitch; single-channel; spectral subtraction; weak speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
Type :
conf
DOI :
10.1109/ICIAS.2012.6306090
Filename :
6306090
Link To Document :
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