Speaker recognition with a MLP classifier and LPCC codebook

Authors:
D. Rodriguez-Porcheron;M. Faundez-Zanuy
Affiliations:
Univ. Politecnica de Catalunya, Barcelona, Spain;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Year:
1999

Citing 0
Cited 2

An effective multi-biometrics solution for embedded device

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Common vector approach and its combination with GMM for text-independent speaker recognition

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper improves the speaker recognition rates of a MLP classifier and LPCC codebook alone, using a linear combination between both methods. In simulations we have obtained an improvement of 4.7% over a LPCC codebook of 32 vectors and 1.5% for a codebook of 128 vectors (error rate drops from 3.68% to 2.1%). Also we propose an efficient algorithm that reduces the computational complexity of the LPCC-VQ system by a factor of 4.