Title :
Automatic Language Identification in speech streams
Author :
Chakroun, Rania ; Ben Ayed, Yassine
Author_Institution :
Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Abstract :
The problem of Automatic Language Identification (ALI) is a very interesting area of research up today. The objective of this work is to propose a new approach based on acoustic parameters in order to identify six languages. These parameters must be adapted to the dynamic nature of speech in order to improve the automatic identification of languages. The experiences are led with six languages (German, English, Arabic, Spanish, French and Italian) on a corpus including recordings extracted from some conversations of various movies and some missions of the television and of radio. The results found show that the use of these new parameters can provide higher identification rate than those obtained with the best acoustic parameters previously used.
Keywords :
acoustic signal processing; audio streaming; feature extraction; natural language processing; speech processing; acoustic parameter; automatic language identification; dynamic speech nature; radio mission; recording extraction; speech stream; television mission; Kernel; Mel frequency cepstral coefficient; Speech; Support vector machines; TV; Vectors; ALI; Automatic Language Identification; SVM; acoustic approach;
Conference_Titel :
Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on
Conference_Location :
Chemnitz
Print_ISBN :
978-1-4673-1590-6
Electronic_ISBN :
978-1-4673-1589-0
DOI :
10.1109/SSD.2012.6197955