An integrated spoken language recognition system using support vector machines

Author

Vyas, Garima ; Dutta, Malay Kishore

Author_Institution

Dept. of Electron. & Commun. Eng., Amity Univ., Noida, India

fYear

2014

fDate

7-9 Aug. 2014

Firstpage

105

Lastpage

108

Abstract

An automatic Language Identification (LID) is a system designed to recognize a language from a given spoken utterance. The spoken utterances are classified according to the pre-defined set of languages. In this paper a LID system is designed for two different languages namely English and French. The classification of an audio sample is done by extracting Mel frequency cepstral coefficients (MFCCs) and putting them on support vector machines with radial basis function kernel. The proposed framework is speaker-independent. This scheme was tested on a database of multi-lingual speech samples. The language identification accuracy is found to be 92% for French and 88% for English.

Keywords

cepstral analysis; natural language processing; radial basis function networks; speaker recognition; support vector machines; English language; French language; LID system; MFCCs; Mel frequency cepstral coefficients; automatic language identification; radial basis function kernel; spoken language recognition system; support vector machines; Feature extraction; Kernel; Mel frequency cepstral coefficient; Speech; Support vector machines; Testing; Training; Audio Clips; Language identification; Mel Frequency Cepstral Coefficients; Radial basis function; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Contemporary Computing (IC3), 2014 Seventh International Conference on

Conference_Location

Noida

Print_ISBN

978-1-4799-5172-7

Type

conf

DOI

10.1109/IC3.2014.6897156

Filename

6897156