Title :
HMM parameters estimation based on cross-validation for Spoken Arabic Digits recognition
Author :
Hammami, N. ; Bedda, M. ; Farah, Nadir
Author_Institution :
Fac. of Comput. & Inf. Sci., Univ. of Al Jouf, Sakaka, Saudi Arabia
Abstract :
This paper presents automatic recognition of the Spoken Arabic Digits recognition by means of preselected parameters for the Hidden Markov Models using the cross validation method. The experimental results give the best result with the obtained parameters, achieve 94.09% correct digit recognition dataset and confirm the promising capabilities of the proposed approach compared to the previous work that uses the same dataset.
Keywords :
hidden Markov models; natural language processing; parameter estimation; speech recognition; Arabic speech recognition; HMM parameter estimation; automatic recognition; cross-validation; hidden Markov model; spoken Arabic digits recognition; Electromagnetic interference; IEC; arabic speech recognition; arabic spoken digits; cross validation; markov models (HMMs); parametres estimation;
Conference_Titel :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-9795-9
DOI :
10.1109/CCCA.2011.6031396
