Detection of Voiced, Unvoiced and Silence Regions of Assamese Speech by Using Acoustic Features
Bidyut Kumar Das , Ajit Das , Utpal Bhattacharjee."Detection of Voiced, Unvoiced and Silence Regions of Assamese Speech by Using Acoustic Features". International Journal of Computer Trends and Technology (IJCTT) V14(2):43-45, Aug 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Voiced, Unvoiced and Silence regions are detected by extracting certain information from speech signals. Earlier, Zero crossing and Energy values have been used for this purpose. In this paper, Pitch and MFCC are also calculated from speech signal and used along with zero crossing and energy values to identify Voiced, Unvoiced and Silence region. It is tried to find out which parameter can give best result.
References
[1] D. Jurafsky, J. H. Martin “Speech and Language Processing”, Publisher Pearson
[2] Bishnu S. Atal, L.R.Rabiner “A Pattern Recognition Approach to Voiced-Unvoiced-Silence classification with application of Speech Recognition”, IEEE Transactions on Acoustics, Speech, And Signal Processing, Vol.ASSP-24, No. 3, June, 1976.
[3] Bachu, R.G., Koparthi S., Adapa B., Barkana B.D., “Separation of Voiced and Unvoiced Using Zero crossing rate and Energy of the Speech Signal.”
[4] M. Greenwood, A. Kinghorn, Dept. of Computer Sc., University of Sheffield, UK, “SUVing: Automatic Silence/ voiced /unvoiced classification of speech”.
[5]. Moshe Wasserblat, Mikel Gainzay, David Dorranz, Yuval Domb, Dublin institute of Technology, Dublin, “Pitch tracking and voiced/unvoiced detection in noisy environment using optimal sequence estimation” ISSC 2008, Galway, June 18-19, Conference paper.
[6] Md. Rashidul Hasan, Mustafa Jamil, Md. Golam Rabbani Md. Saifur Rahman “Speaker Identification Using Mel Frequency Cepstral Coefficients”, 3rd International Conference on Electrical & Computer Engineering ICECE 2004, 28-30 December 2004, Dhaka, Bangladesh
[7] L.R. Rabiner, M. J. Cheng, A.E. Rosenberg and C.A. McGonegal “A Comparative Performance Study of Several Pitch Detection Algorithms”, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-24,No. 5, October 1976
Keywords
Zero-crossing, Energy, Pitch, MFCC