Using Information Theoretic Vector Quantization For Gmm Based Speaker Verification

Sheeraz Memon; Margaret Lech

doi:10.5281/zenodo.40827

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JOURNAL ARTICLE

Using Information Theoretic Vector Quantization For Gmm Based Speaker Verification

Sheeraz Memon Margaret Lech

Year: 2008 Journal: Zenodo (CERN European Organization for Nuclear Research) Pages: 1-5 Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.40827

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Abstract

Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland, 2008

Keywords:

Vector quantization Mixture model Computer science Quantization (signal processing) Computational complexity theory Gaussian process Speaker verification Speaker recognition Maximization Gaussian Algorithm Adaptability Pattern recognition (psychology) Artificial intelligence Speech recognition Mathematical optimization Mathematics

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0.85

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Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Using Information Theoretic Vector Quantization For Gmm Based Speaker Verification

Abstract

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Citation History

Topics

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