Abstract
Cases of cybercrime & terrorism on IP network is increasing day by day. In addition, there is a tendency to fraud phone-banking systems, and gain access to secure premises or accounts, which may be protected through the voice-based biometric system. To minimize these problems, we need a voice/speaker recognition system with utmost accuracy. Number of users of internet applications is also increasing, causes heavy traffic over IP channel almost round the clock. In this paper, the effect of packet loss on the performance of speaker recognition system is demonstrated and to alleviate this degradation we propose novel interleaving schemes. The proposed interleaving schemes help to spread the risk of burst loss in the network which is expected to improve speech quality and hence performance of the speaker recognition system.
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References
Mehta, P., Udani, S.: Voice over IP. IEEE Potentials 20, 36–40 (2001)
Borah, D.K., DeLeon, D.: Speaker Identification in the Presence of Packet Loss. In: IEEE 11th Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop, pp. 302–306 (2004)
Aggarwal, C., Olshefski, D., Saha, D., Shae, Z., Yu, P.: CSR: Speaker Recognition from Compressed VoIP Packet Stream. In: IEEE International Conference on Multimedia and Expo, ICME Amsterdam, Netherlands, pp. 970–973 (2005)
Wang, X., Lin, J.: Applying Speaker Recognition Over VoIP Auditing. In: Proceedings of the 6th International Conference on Machine Learning and Cybernetic, Hong Kong, pp. 3577–3581 (2007)
Davidson, J., Peters, J.: Voice Over IP Fundamentals. Cisco Press (2000)
McCree, A., Truong, K., Bryan, G., Barnwell, T.P., Vzswanathanl, V.: A 2.4 kbit/s MELP Coder Candidate for the New U.S. Federal Standard. In: Proceedings International Conference Acoust., Speech and Signal, ICASSP, Atlanta Georgia, pp. 200–203 (1996)
Mayorga, P., Besacier, L., Hernandez, A.: Packet Loss and Compression Effects on Vocal Recognition. In: Proceedings of CERMA (2006)
Hassan, M., Nayandoro, A., Atiquzzaman, M.: Internet Telephony: Services, Technical Challenges, and Products. IEEE Communications Magazine 38, 96–103 (2000)
Sat, B., Wah, B.W.: Analysis and Evaluation of the Skype and Google-talk VoIP Systems. In: ICME, pp. 2153–2156 (2006)
Davis, S.B., Mermelstein, P.: Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences. IEEE Trans. Acoustic, Speech and Signal Processing 28(4), 357–366 (1980)
Keller, H., George, S., Keith, T.: A Multilanguage Study of the Quality of Interleaved MELP Voice Traffice Over a Lossy Network. IEEE Signal Processing Letters 16, 565–568 (2009)
Campbell, W.M., Assaleh, K.T., Broun, C.C.: Speaker Recognition with Polynomial Classifiers. IEEE Transactions on Speech and Audio Processing 10(4), 205–212 (2002)
Martin, A.F., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET Curve in Assessment of Detection Task Performance. In: Proceeding Eurospeech 1997, Rhodes, Greece, vol. 4, pp. 1899–1903 (1997)
Wasem, O., Goodman, D., Dvorak, C., Page, H.: The Effect of Waveform Substitution on the Quality of PCM Packet Communications. IEEE Transactions on Acoustics, Speech, and Signal Processing 36, 342–348 (1988)
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Patil, H.A., Goswami, P.A., Basu, T.K. (2012). Novel Interleaving Schemes for Speaker Recognition over Lossy Networks. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_41
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DOI: https://doi.org/10.1007/978-3-642-27387-2_41
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