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
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;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
DOI :
10.1109/ICIAS.2012.6306090