Combination of vector quantization and gaussian mixture models for speaker verification with sparse training data

Guido Kolano; Peter Regel-Brietzmann

doi:10.21437/eurospeech.1999-281

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Combination of vector quantization and gaussian mixture models for speaker verification with sparse training data

Guido Kolano Peter Regel-Brietzmann

Year: 1999 Pages: 1203-1206

DOI: 10.21437/eurospeech.1999-281

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Keywords:

Vector quantization Speaker verification Computer science Training set Speech recognition Pattern recognition (psychology) Artificial intelligence Speaker recognition Mixture model Quantization (signal processing) Gaussian Sparse matrix Data modeling Algorithm Database

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0.66

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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

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Combination of vector quantization and gaussian mixture models for speaker verification with sparse training data

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Citation History

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