Speaker gender identification with SVM classification and fuzzy logic
Publish place: The Second International Conference on Intelligent Information Networks and Complex Systems
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