TY - GEN
T1 - Speaker verification with TIMIT corpus-some remarks on classical methods
AU - Dustor, Adam
N1 - Publisher Copyright:
© 2020 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).
PY - 2020/9/23
Y1 - 2020/9/23
N2 - The aim of this paper is to present some research on speaker verification system based on Gaussian Mixture Model-Universal Background Model (GMM-UBM) approach. All tests were done for the TIMIT corpus. Performance for the standard Mel-Frequency Cepstral Coefficients (MFCC) and dynamic delta features is shown. Influence of feature dimensionality and model complexity on Equal Error Rate (EER) is presented. Additionally, an impact of Voice Activity Detection (VAD) and normalization techniques like Cepstral Mean and Variance Normalization (CMVN) and RelAtive SpecTrA (RASTA) filtering is covered. Each combination of factors was examined. It is shown that careful selection of traditional techniques may lead to very satisfying results when it comes to achieved EER values.
AB - The aim of this paper is to present some research on speaker verification system based on Gaussian Mixture Model-Universal Background Model (GMM-UBM) approach. All tests were done for the TIMIT corpus. Performance for the standard Mel-Frequency Cepstral Coefficients (MFCC) and dynamic delta features is shown. Influence of feature dimensionality and model complexity on Equal Error Rate (EER) is presented. Additionally, an impact of Voice Activity Detection (VAD) and normalization techniques like Cepstral Mean and Variance Normalization (CMVN) and RelAtive SpecTrA (RASTA) filtering is covered. Each combination of factors was examined. It is shown that careful selection of traditional techniques may lead to very satisfying results when it comes to achieved EER values.
UR - https://www.scopus.com/pages/publications/85096242475
U2 - 10.23919/spa50552.2020.9241298
DO - 10.23919/spa50552.2020.9241298
M3 - Conference contribution
AN - SCOPUS:85096242475
T3 - Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
SP - 174
EP - 179
BT - SPA 2020 - Signal Processing
PB - IEEE Computer Society
T2 - 24th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2020
Y2 - 23 September 2020 through 25 September 2020
ER -