Optimizing speaker-specific filter banks for speaker verification
Hector N. B. Pinheiro, Fernando M. P. Neto, Adriano L. I. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami
Abstract
In this work, we investigate speaker-specific filter banks for text-independent speaker verification. The proposed method performs an heuristic search for the best filter-bank configuration using the Artificial Bee Colony (ABC) algorithm and a proper fitness function for the standard i-vectors/PLDA-based speaker verification system. Furthermore, filter-bank decorrelated amplitudes are used instead of the cepstral coefficients produced by Discrete Cosine Transform (DCT). In the experiments, the proposed method is compared to standard Mel and linear scales in both cases where the decorrelation is performed using DCT and high-pass filtering. The comparison is performed on the MIT Mobile Device Speaker Verification Corpus in a gender-dependent trial scheme. The proposed method outperformed the baseline systems in almost all the test sets for both genders. Performance gains of 4.6% and 26.0% are achieved for male and female speakers, respectively.
BibTeX
@inproceedings{icassp2017_optimizingspeake,
title = {Optimizing speaker-specific filter banks for speaker verification},
author = {Hector N. B. Pinheiro and Fernando M. P. Neto and Adriano L. I. Oliveira and Tsang Ing Ren and George D. C. Cavalcanti and André Gustavo Adami},
booktitle = {ICASSP 2017},
year = {2017}
}