Title :
A new speech/non-speech classification method using minimal Walsh basis functions
Author :
Pwint, Moe ; Sattar, Farook
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
In this paper, a method to distinguish between the closely located speech and non-speech segments of noisy speech signals is presented. It is based on modification of the original signal with the help of minimal binary Walsh basis functions and an analysis/synthesis scheme. Then, the presence of speech/non-speech segments is determined from the modified signals with a simple decision scheme. Besides its simplicity, the simulation results are promising and significantly better than G.729B with signal to noise ratio (SNR) as low as 0 dB in different noisy environments.
Keywords :
Walsh functions; signal classification; speech processing; SNR; analysis/synthesis scheme; classification decision scheme; minimal binary Walsh basis functions; noisy environments; noisy speech signals; speech segmentation; speech/nonspeech classification method; Fourier transforms; Signal analysis; Signal synthesis; Signal to noise ratio; Speech analysis; Speech coding; Speech enhancement; Speech processing; Speech synthesis; Statistics;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465224
