Gabor Filters Based Segmentation For Monaural Sound Segregation

Author

Gunes, E. ; Gökmen, Muhittin

Author_Institution

Istanbul Teknik Univ., Istanbul

fYear

2007

fDate

11-13 June 2007

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SIU.2007.4298759

Filename

4298759