Title :
SVM based recognition of Azerbaijani vowels
Author :
Imamverdiyev, Y.N. ; Sukhostat, L.V.
Author_Institution :
Inst. of Inf. Technol. of ANAS, Baku, Azerbaijan
Abstract :
The recognition of vowels in Azerbaijani speech is very important for Azerbaijani speakers. However, it is rather difficult and there has been no efficient method to solve it yet. In this paper, we propose an approach to the recognition of Azerbaijani vowels via the support vector machine (SVM) with the Mel-Frequency Cepstral Coefficients (MFCCs) as the vowel´s features. It is shown by the experiments that this method can reach a high recognition accuracy.
Keywords :
cepstral analysis; speaker recognition; support vector machines; Azerbaijani vowels; Mel-frequency cepstral coefficients; SVM based recognition; speaker recognition; speech recognition; support vector machine; Computer languages; Discrete cosine transforms; FCC; Helium; Indium tin oxide; Mel frequency cepstral coefficient; Support vector machines; Azerbaijani vowels; Mel-frequency cepstral coefficients; Support Vector Machines;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6111022
