TY - GEN
T1 - Spoken language identification based on GMM models
AU - Dustor, Adam
AU - Szwarc, Pawel
PY - 2010
Y1 - 2010
N2 - The paper describes application of gaussian mixture models GMM to the task of spoken language identification.The influence of the length of the test utterances on identification error rate was examined. During identification procedure recordings for 15 languages were used, both European and Asian ones. As a language model GMM with full covariance matrix was applied. Obtained results of identification error rate were discussed.
AB - The paper describes application of gaussian mixture models GMM to the task of spoken language identification.The influence of the length of the test utterances on identification error rate was examined. During identification procedure recordings for 15 languages were used, both European and Asian ones. As a language model GMM with full covariance matrix was applied. Obtained results of identification error rate were discussed.
UR - https://www.scopus.com/pages/publications/78649260977
M3 - Conference contribution
AN - SCOPUS:78649260977
SN - 9788390474342
T3 - International Conference on Signals and Electronic Systems, ICSES'10 - Conference Proceeding
SP - 105
EP - 108
BT - International Conference on Signals and Electronic Systems, ICSES'10 - Conference Proceedings
T2 - International Conference on Signals and Electronic Systems, ICSES'10
Y2 - 7 September 2010 through 10 September 2010
ER -