Multilingual Person Identification

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-10 Number-1                          
Year of Publication : 2014
Authors : Praveen Singh Rathore , Dr. Neeta Tripathi
  10.14445/22315381/IJETT-V10P201

MLA 

Praveen Singh Rathore , Dr. Neeta Tripathi. "Multilingual Person Identification", International Journal of Engineering Trends and Technology (IJETT), V10(1),1-3 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Speech conveys the word being spoken and information about the speakers. The speaker recognition is divided into two parts speaker identification and speaker verification. Present paper explores the idea to identify multi-lingual person by basic features. In the present approach the speech signals are recorded and basic features pitch and formant frequency has been calculated. The neural network approach is use for training of system. Here we consider two languages Hindi and Marathi including male and female. We base our approach on multilingual person identification using basic features.

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Keywords
Pitch, formant frequency, multi-lingual identification and neural network.