Speaker gender identification with SVM classification and fuzzy logic

Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

IINC02_025

تاریخ نمایه سازی: 25 فروردین 1394

Abstract:

speaker gender identification with SVM classification and MFCC and LPCC Features is one of the best way for gender recognition. In this study, we present a novel speakergender identification using SVM classification with MFCC and LPCC and Fuzzy logic that selects best classification for eachvoice. We show that our speaker gender identification is 100percent successful for 102 different speakers.

Keywords:

Gender classification-SVM classification-MFCC-LPCC-fuzzy logic

Authors

Navid khozein Ghanad

Islamic Azad university Of Mashhad,Faculty of Engineering, Department of Computer Engineering

Seyed Javad Seyed Mahdavi

Islamic Azad university Of Mashhad, Faculty of Engineering, Department of Computer Engineering