Vector quantization based Gaussian modeling for speaker verification
Pelecanos, J., Myers, S., Sridharan, S., & Chandran, V. (2000) Vector quantization based Gaussian modeling for speaker verification. In Proceedings of the 15th International Conference on Pattern Recognition, 2000, IEEE, pp. 294-297.
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Gaussian mixture models (GMMs) have become an established means of modeling feature distributions in speaker recognition systems. It is useful for experimentation and practical implementation purposes to develop and test these models in an efficient manner particularly when computational resources are limited. A method of combining vector quantization (VQ) with single multi-dimensional Gaussians is proposed to rapidly generate a robust model approximation to the Gaussian mixture model. A fast method of testing these systems is also proposed and implemented. Results on the NIST 1996 Speaker Recognition Database suggest comparable and in some cases an improved verification performance to the traditional GMM based analysis scheme. In addition, previous research for the task of speaker identification indicated a similar system perfomance between the VQ Gaussian based technique and GMMs
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|Item Type:||Conference Paper|
|Keywords:||probability, speaker recognition, vector quantisation, Gaussian mixture models, NIST 1996 Speaker Recognition Database, feature distributions, speaker identification, speaker recognition systems, speaker verification, vector quantization based Gaussian modeling|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2000 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||17 Oct 2011 03:41|
|Last Modified:||17 Oct 2011 03:41|
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