Voice activity detection (VAD) has several applications in different areas of speech processing, as such speech recognition, speech compression and noise reduction. In this paper first, the related approaches presented in the literatures will be investigated. Next, a new procedure is proposed for distinguishing between silence and non-silence regions of a speech signal. The proposed technique is based on wavelet transform, because it provides a high capability of energy-separation in different subbands. The obtained results confirm that the proposed method shows significant improvements in compare with other methods.
Aghajani,K. and Taghi Manzuri Shalmani,M. (2006). A Robust Voice Activity Detection Method for Noisy Speech Signals. (e215987). The CSI Journal on Computer Science and Engineering, 4(3), e215987
MLA
Aghajani,K. , and Taghi Manzuri Shalmani,M. . "A Robust Voice Activity Detection Method for Noisy Speech Signals" .e215987 , The CSI Journal on Computer Science and Engineering, 4, 3, 2006, e215987.
HARVARD
Aghajani K., Taghi Manzuri Shalmani M. (2006). 'A Robust Voice Activity Detection Method for Noisy Speech Signals', The CSI Journal on Computer Science and Engineering, 4(3), e215987.
CHICAGO
K. Aghajani and M. Taghi Manzuri Shalmani, "A Robust Voice Activity Detection Method for Noisy Speech Signals," The CSI Journal on Computer Science and Engineering, 4 3 (2006): e215987,
VANCOUVER
Aghajani K., Taghi Manzuri Shalmani M. A Robust Voice Activity Detection Method for Noisy Speech Signals. CSIonJCSE, 2006; 4(3): e215987.
The CSI Journal on Computer Science and Engineering