文章基本信息

标题：Phoneme Classification Using New Feature Extraction Techniques based on Mellin Transform
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作者：Rimah Amami ; Noureddine Ellouze
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：3
页码：131-140
DOI：10.14257/ijsip.2015.8.3.12
出版社：SERSC
摘要：This paper presents a new hierarchical phoneme recognition system using the SVM classifier and different feature representations based on mellin transform. The proposed architecture uses different representations with each group of phonemes of the speech database TIMIT which are distributed in a way to reduce the confusions between phonemes having similar articulatory strcuture. The main idea of this new architecture is based on the principle that each group of phonemes has his own characteristics which requires us to choose the adequate representation for the given group. Experiments have proven the robustness of our new hierarchical phoneme recognition system (called MMP) and the use of conventional feature representations based on mellin transform explains its superior recognition performance
关键词：Phoneme recognition; MFCC; mellin transform; Phonemes confusions; SVM