Abstract
Alternative ways to represent speaker’s voice individuality are studied for the task of speaker verification. We exploit a set of orthonormal bases provided by wavelet packets that allow an effective manipulation of the frequency subbands according to the critical bands concept. Novel wavelet packet based sets of speech features are contrasted with existing wavelet features as well as with the widely accepted Mel-scale cepstral coefficients (MFCC). Our scheme differs from previous wavelet-based works, primarily in the wavelet-packet tree design that follows the concept of critical bandwidth, as well as in the particular wavelet basis function that have been used. Comparative experimental results confirm the assertion that the proposed speech features outperform MFCC, as well as previously used wavelet features, on the task of speaker verification.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Moore, B.C.J.: An introduction to the psychology of hearing. Academic Press, London (2003)
Tufekci, Z., Gowdy, J.N.: Feature extraction using discrete wavelet transform for speech recognition. In: Proc. of IEEE Southeastcon 2000, pp. 116–123 (2000)
Long, C.J., Datta, S.: Wavelet based feature extraction for phoneme recognition. In: Proc. of 4th Int. Conf. of Spoken Language Processing, Philadelphia, USA, vol. 1, pp. 264–267 (1996)
Davis, S.B., Mermelstein, P.: Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoustic, Speech and Signal Processing ASSP-28(4), 357–366 (1980)
Sarikaya, R., Hansen, H.L.: High resolution speech feature parameterization for monophone-based stressed speech recognition. IEEE Signal Processing Letters 7(7), 182–185 (2000)
Farooq, O., Datta, S.: Mel-scaled wavelet filter based features for noisy unvoiced phoneme recognition. In: Proc. of ICSLP 2002, Denver, Colorado, USA, September 16-20, pp. 1017–1020 (2002)
Sarikaya, R., Pellom, B.L., Hansen, H.L.: Wavelet packet transform features with application to speaker identification. In: Proc. of IEEE Nordic Signal Processing Symposium, Visgo, Denmark, pp. 81–84 (1998)
Mallat, S.: A wavelet tour of signal processing. Academic Press, San Diego (1998)
Erzin, E., Cetin, A.E., Yardimci, Y.: Subband analysis for speech recognition in the presence of car noise. In: Proc. of ICASSP 1995, Detroit, MI, vol. 1, pp. 417–420 (1995)
Rabiner, L.R., Cheng, M.J., Rosenberg, A.E., McGonegal, C.A.: A Comparative Performance Study of Several Pitch Detection Algorithms. IEEE Transactions on ASSP ASSP-24(5), 399–418 (1976)
The NIST Year 2001 Speaker Recognition Evaluation Plan. NIST of USA (2001), Available: http://www.nist.gov/speech/tests/spk/2001/doc/2001-spkrec-evalplan-v05.9.pdf
Ganchev, T., Fakotakis, N., Kokkinakis, G.: Text-Independent Speaker Verification Based on Probabilistic Neural Networks. In: Proc. of Acoustics 2002, Patras, Greece, pp. 159–166 (2002)
The NIST Year 2002 Speaker Recognition Evaluation Plan. NIST of USA (2002), Available: http://www.nist.gov/speech/tests/spk/2002/doc/2002-spkrec-evalplan-v60.pdf
Fletcher, H.: Auditory patterns. Reviews of Modern Physics (12), 47–65 (1940)
Zwicker, E.: Subdivision of the audible frequency range into critical bands (Frequenzgruppen). The J. of Acoustical Society of America 33, 248–249 (1961)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ganchev, T., Siafarikas, M., Fakotakis, N. (2004). Speaker Verification Based on Wavelet Packets. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-30120-2_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23049-6
Online ISBN: 978-3-540-30120-2
eBook Packages: Springer Book Archive