Telephone based speaker recognition using multiple binary classifier and Gaussian mixture models
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (15206149) , 1075-1078
- https://doi.org/10.1109/icassp.1997.596127
Abstract
The present study evaluates multiple binary classifier model (MBCM) and Gaussian mixture model (GMM) solutions for both automatic speaker verification (ASV) and automatic speaker identification (ASI) problems involving text-independent telephone speech from the King speech database. The MBCM's accuracy is enhanced by selectively removing those classifiers within the model which perform worst (pruning). An unpruned MBCM outperforms a GMM for ASV and speakers taken from within the same dialectic region (San Diego, CA). Once pruned, the MBCM is found to be 2.6 times more accurate than the GMM. For closed set ASI, based on the same data, the MBCM is roughly twice as accurate as the GMM but only after pruning.Keywords
This publication has 8 references indexed in Scilit:
- Speaker recognition in reverberant enclosuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Text-independent speaker verification with a multiple binary classifier modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A study of LVQ learning schedules for ANN speaker identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimisation of neural models for speaker identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Data fusion Techniques for Speaker RecognitionPublished by Springer Nature ,1995
- Robust text-independent speaker identification using Gaussian mixture speaker modelsIEEE Transactions on Speech and Audio Processing, 1995
- Text-independent speaker identificationIEEE Signal Processing Magazine, 1994
- Comparing Multi-layer Perceptrons and Radial Basis Functions networks in speaker recognitionJournal of Microcomputer Applications, 1993