• DocumentCode
    2053167
  • Title

    Automatic Language Identification in speech streams

  • Author

    Chakroun, Rania ; Ben Ayed, Yassine

  • Author_Institution
    Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
  • fYear
    2012
  • fDate
    20-23 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/SSD.2012.6197955
  • Filename
    6197955