Browse > Article
http://dx.doi.org/10.5351/CKSS.2008.15.2.293

A New Feature for Speech Segments Extraction with Hidden Markov Models  

Hong, Jeong-Woo (Department of Statistics, Yeungnam University)
Oh, Chang-Hyuck (Department of Statistics, Yeungnam University)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.2, 2008 , pp. 293-302 More about this Journal
Abstract
In this paper we propose a new feature, average power, for speech segments extraction with hidden Markov models, which is based on mel frequencies of speech signals. The average power is compared with the mel frequency cepstral coefficients, MFCC, and the power coefficient. To compare performances of three types of features, speech data are collected for words with explosives which are generally known hard to be detected. Experiments show that the average power is more accurate and efficient than MFCC and the power coefficient for speech segments extraction in environments with various levels of noise.
Keywords
Average power; hidden Markov model; Mel frequency cepstral coefficients; power coefficient;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Rabiner, L. R. and Juang, B. H. (1993). Fundamentals of Speech Recognition. Prentice Hall PTR, New Jersey
2 Seok, J. W. and Bae, K. S. (1999). Endpoint detection of speech signal using wavelet transform. The Journal of the Acoustical Society of Korea, 18, 57-63
3 Ganchev T., Fakotakis N. and Kokkinakis G. (2005). Comparative evaluation of various MFCC implementations on the speaker verification task. In Proceeding of the 10th International Conference on Speech and Computer, SPECOM 2005, 1, 191-194
4 Haeb-Umbach, R. (1999). Investigations on inter-speaker variability in the feature space. In Proceeding of the IEEE ICASSP'99, 1, 397-400
5 Abdulla, W. H. (2002). HMM-based techiques for speech segments extraction. Scientific Programming, 10, 221-239   DOI
6 Abdulla, W. H. and Kasabov, N. K. (1999). Two pass hidden Markov model for speech recognition systems. In Proceeding of the ICICS'99
7 Acero, A., Crespo, C., Torre, C. de la and Torrecilla, J. C. (1993). Robust HMM-based endpoint detector, In Proceeding of the EuroSpeech, 3, 1551-1554