|
A Review On Speaker Verification: Challenges And Issues
[Full Text]
AUTHOR(S)
Sujiya Sreedharan, Chandra Eswaran
KEYWORDS
Speaker Recognition, Speaker Verification, Application on speaker verification, Issues, Challenges
ABSTRACT
Personal Voice based verification is an essential requirement for protecting and controlling various confidential resources in the present technological world. Security key codes like passwords and Personal identification number and other traditional passwords can be stolen and used without the permission of the legitimate user, which resulting in loss of integrity leading to great threat to security. Hence to overcome such security issues high-tech and consistent biometric authentication technique is required in verifying identity claim of an individual from his/her voice with enhanced security measures. Recent technologies focused towards biometric features which is the emerging development of mobile technology. This article gives an overview on speaker verification biometric technology with the issues and present scenario and various applications on voice processing technology.
REFERENCES
[1] J. P. Campbell et.al., “Speaker recognition: A tutorial,” Proceedings of the IEEE, vol. 85, no. 9, pp. 1437–1462, (1997)
[2] Frederic Bimbot et.al., “A Tutorial on Text-Independent Speaker Verification”, EURASIP Journal on Applied Signal Processing:4, 430–451 Hindawi Publishing Corporation, 2004.
[3] D. Petrovska et.al., “Segmental approaches for automatic speaker verification,” Digital Signal Processing, vol. 10, no. 1–3, pp. 198– 212, 2000.
[4] Dr.Mahesh.et.al., “Speaker Features and Score Normalization for Multimodal Recognition Systems”, Journal of Information Assurance and Security Recognition Techniques: A Review, International Journal Of Computational Engineering Research / ISSN: 2250–3005, 2014.
[5] Kinnunen et.al., “An overview of text independent speaker recognition: from features to supervectors”, Speech Communication.,, 52, (1), pp. 12–40,2010.
[6] JayannaH. et.al., “Analysis of feature extraction, modeling and testing techniques for speaker recognition”, IETE Tech. Rev.,26, (3), pp. 181–190, 2009 .
[7] Kinnunen T. et.al., “Real-time speaker identification and verification”, IEEE Trans. Audio Speech Lang. Process. 14, (1), pp. 277–288, 2006
[8] ManamA.B. et al, “ Speaker verification using acoustic factor analysis with phonetic content compensation in limited and degraded test conditions”. Proc. TENCON, pp. 1402–1406.
[9] AndoA. et al., ‘”Speaker recognition in duration-mismatched condition using bootstrapped i-vectors”. Proc. APSIPA, pp. 1– 4.,2011.
[10] MaJ.Sethu et al., ”Duration compensation of i-vectors for short duration speaker verification”, Electron. Lett., 53, (6), pp. 405– 407, 2017 .
[11] Kanagasundaram.A. et al, “Dnn based speaker recognition on short utterances”, preprint arXiv:161003190, 2017.
[12] ChenY.TangZ.et.al., “Speaker recognition of noisy short utterance based on speech frame quality discrimination and three-stage classification model”, Int. J. Control Automation., 8(3), pp. 135–146, 2015.
[13] Auckenthaler, et al., “Score normalization for text-independent speaker verification systems”. Digital Signal Processing Vol. 10, pp. 42-54, 2000.
[14] Jain et.al., “An introduction to biometric recognition,” IEEE Trans. Circuits Systems Video Technol., vol. 14, no. 1, pp. 4–20, 2004.
[15] D. Reynolds “An overview of automatic speaker recognition technology,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. 4, pp. 4072–4075, 2002.
[16] T.Kinnunen et.al., “An overview of text-independent speaker recognition” Speech Communication ., vol. 52, no. 1, pp. 12–40,2011.
[17] H. Beigi, Fundamentals of Speaker Recognition. New York, NY: Springer, 2011. D. A. Reynolds et.al., “Speaker verification using adapted Gaussian mixture models,” Digital Signal Process., vol. 10, no. 1–3, pp. 19–41, 2000.
[18] X. Fan et.al., “Speaker identification within whispered speech audio streams,” IEEE Trans. Audio, Speech, Lang. Process., vol. 19, no. 4, pp. 1408–1421, 2011.
[19] Amin Fazel et.al., “Statistical Pattern Recognition Techniques for Speaker Verification”, IEEE Circuits and Systems Magazine,vol 2,pp 62-81, 2011.
[20] Xing Fan et.al., Speaker Identification within Whispered Speech Audio Streams”, IEEE Transactions On Audio, Speech and Language Processing, vol. 19, no. 5,2011.
[21] Luciana Ferrer, “A comparison of approaches for modeling prosodic features in speaker recognition” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 7, pp. 2095–2103, 2010.
[22] Gregory Ditzler et.al, “Fusion Methods for Boosting Performance of Speaker Identification Systems”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1,2010.
[23] H. Beigi, "Fundamentals of Speaker Recognition,” VDM Verlag, Saarbrücken. Farrùs, “Prosody in Automatic Speaker Recognition: Applications in Biometrics and Voice Imitation,” VDM Verlag, Saarbrücken, 2011.
[24] M. Sahidullah “Design, Analysis and Experimental Evaluation of Block Based Transformation in MFCC Computation for Speaker Recognition,” Speech Communication, Vol. 54, No. 4, pp. 543-565, 2010.
[25] Tomi H. Kinnunen, “Optimizing Spectral Feature Based Text- Independent Speaker Recognition” A Phd Thesis UNIVERSITY OF JOENSUU ,2005.
[26] R. Prabhavalkar et.al., “Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, , pp. 4704–4708, 2015.
[27] P. Kenny, “Bayesian speaker verification with heavy-tailed priors,” in Proc. Odyssey Speaker and Language Recognition Workshop, Brno, Czech Republic, 2010.
[28] N. Dehak et.al., “Front-end factor analysis for speaker verification,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 4, pp. 788–798, 2011.
[29] H. Aronowitz.,et.al., “Text-dependent speaker verification using a small development set,” in Proc. Odyssey Speaker and Language Recognition Workshop, Singapore, 2012.
[30] P. Kenny et.al., “Joint factor analysis versus eigen channels in speaker recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, pp. 1435–1447, 2007.
|
