Title :
Gabor Filters Based Segmentation For Monaural Sound Segregation
Author :
Gunes, E. ; Gökmen, Muhittin
Author_Institution :
Istanbul Teknik Univ., Istanbul
Abstract :
Monaural sound segragation has been a very challenging problem where blind source separation techniques could not directly be applied. This study proposes a new time-frequency spectrogram segmentation technique for segregation of human speech from monaural sound mixtures. Gabor filters are used to spectrogram image to enhance segment contours, then segmentation process is applied. The system is tested on speech signals from TIMIT database, mixed with several noise sources with SNR ration up to 0 dB, and encouraging results are obtained.
Keywords :
Gabor filters; speech enhancement; time-frequency analysis; Gabor filters; SNR; TIMIT database; blind source separation techniques; human speech; monaural sound mixtures; monaural sound segregation; segment contour enhancement; spectrogram image; speech signals; time-frequency spectrogram segmentation technique; Blind source separation; Gabor filters; Humans; Image databases; Image segmentation; Signal to noise ratio; Spectrogram; Speech enhancement; System testing; Time frequency analysis;
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
DOI :
10.1109/SIU.2007.4298759
