Abstract
The paper describes an experimental study and the development of a computer agent for Speaker recognition. It presents an efficient method to verify authorised speakers and identify them using MFCC Feature vector clustering. For clustering of the MFCC features, Vector Quantisation using Linde-Buzo-Gray (LBG) algorithm has been presented. This approach proves to be an efficient ASR technique.
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References
Kekre, H.B., Bharadi, V.A., Sawant, A.R., Kadam, O., Lanke, P., Lodhiya, R.: Speaker Recognition using Vector Quantization by MFCC and KMCG Clustering Algorithm. In: 2012 International Conference on Communication, Information & Computing Technology (ICCICT), Mumbai, India, October 19-20 (2012)
Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker Verification Using Adapted Gaussian Mixture Models. Digital Signal Processing 10, 19–41 (2000)
Miyajima, C., Hattori, Y., Tokuda, K., Masuko, T., Kobayashi, T., Kitamura, T.: Speaker Identification Using Gaussian Mixture Models Based On Multi-Space Probability Distribution. In: Proc. of ICASSP (2001)
Rabiner, L.R., Schafer, R.W.: Digital Processing of Speech Signals. Prentice-Hall, Englewood Cliffs (1978)
Reynolds, D.A.: An overview of automatic speaker recognition technology. In: Proc. IEEE Int. Conf. Acoust., Speech, Signal Process.
Mohanty, M.N., Routray, A., Kabisatpathy, P.: Voice Detection using Statistical Method. International Journal Engg. Techsci. 2(1), 120–124 (2011)
Linde, Y., Buzo, A., Gray, R.: An algorithm for vector quantizer design. IEEE Transactions on Communications 28, 84–95 (1980)
Huang, X., Acero, A., Hon, H.: Spoken Language Processing: A guide to theory, algorithm, and system development. Prentice Hall (2001)
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Samal, A., Parida, D., Satapathy, M.R., Mohanty, M.N. (2014). On the Use of MFCC Feature Vector Clustering for Efficient Text Dependent Speaker Recognition. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_34
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DOI: https://doi.org/10.1007/978-3-319-02931-3_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
Online ISBN: 978-3-319-02931-3
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