%0 Journal Article
	%A Min Ah Kang and  Sangbae Jeong and  Minsoo Hahn
	%D 2007
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 7, 2007
	%T On-line Speech Enhancement by Time-Frequency Masking under Prior Knowledge of Source Location
	%U https://publications.waset.org/pdf/94
	%V 7
	%X This paper presents the source extraction system which can extract only target signals with constraints on source localization in on-line systems. The proposed system is a kind of methods for enhancing a target signal and suppressing other interference signals. But, the performance of proposed system is superior to any other methods and the extraction of target source is comparatively complete. The method has a beamforming concept and uses an improved time-frequency (TF) mask-based BSS algorithm to separate a target signal from multiple noise sources. The target sources are assumed to be in front and test data was recorded in a reverberant room. The experimental results of the proposed method was evaluated by the PESQ score of real-recording sentences and showed a noticeable speech enhancement.

	%P 1933 - 1938