Title :
A robust voice activity detection based on wavelet transform
Author :
Aghajani, Kh. ; Manzuri, M.T. ; Karami, M. ; tayebi, H.
Author_Institution :
Comput. Dept., Sharif Univ. of Technol., Tehran
Abstract :
Voice activity detection is an important step in some speech processing systems, such as speech recognition, speech enhancement, noise estimation, speech compression ... etc. In this paper a new voice activity detection algorithm based on wavelet transform is proposed. In this algorithm we use the energy in each sub band, and by two methods we extract feature vector from these values. Experimental results demonstrate advantage over different VAD methods.
Keywords :
data compression; feature extraction; speech coding; speech enhancement; speech recognition; wavelet transforms; feature extraction vector; noise estimation; robust voice activity detection; speech compression; speech enhancement; speech processing systems; speech recognition; wavelet transform; Acoustic noise; Change detection algorithms; Feature extraction; Hidden Markov models; Linear predictive coding; Robustness; Speech enhancement; Speech processing; Speech recognition; Wavelet transforms;
Conference_Titel :
Electrical Engineering, 2008. ICEE 2008. Second International Conference on
Conference_Location :
Lahore
Print_ISBN :
978-1-4244-2292-0
Electronic_ISBN :
978-1-4244-2293-7
DOI :
10.1109/ICEE.2008.4553895
