Multilingual Person Identification
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 10, Issue 1
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.
Authors and Affiliations
Praveen Singh Rathore , Dr. Neeta Tripathi
Keywords
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