Phoneme Recognition Based on Principal Component Analysis

被引：0

作者：

Liu, Xianju ^{[1
]}

Mastorakis, Nikos E. ^{[2
]}

Li, Zhongxiao ^{[3
]}

Zhuang, Xiaodong ^{[3
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Peoples R China

[2] Tech Univ Sofia, English Language Fac Engn ELFE, Kliment Ohridski 8, Sofia 1000, Bulgaria

[3] Qingdao Univ, Elect & Informat Coll, Qingdao 266071, Peoples R China

来源：

2ND INTERNATIONAL CONFERENCE ON MATHEMATICS AND COMPUTERS IN SCIENCE AND ENGINEERING (MACISE 2020) | 2020年

基金：

美国国家科学基金会;

关键词：

Principal component analysis; phoneme recognition; subspace; representation error;

D O I：

10.1109/MACISE49704.2020.00038

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

A new method for vowel phoneme signal recognition is proposed based on principal component analysis. First, the subspace of each vowel signal is estimated by principal component analysis on sevaral vowel signals. Further, the vowel signal to be recognized is divided into frames, and each frames is separately projected into each of the obtained subspaces. In theory, the representation error obtained by projecting the signal into its corresponding subspace is smallest, based on which the vowel phoneme signals can be accurately recognized, The effectiveness of the proposed phoneme recognition method on PCA is proved by experiments.

引用

下载

页码：175 / 177

页数：3

共 50 条

[41] Bearing Condition Recognition Based on Kernel Principal Component Analysis and Genetic Programming
Liu, Wenbin
He, Yuxin
Wang, Huaqing
Yang, Jianfeng
ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY III, PTS 1-4, 2013, 397-400 : 1282 - 1285
[42] Application of Elastic Principal Component Analysis to Person Recognition Based on Screen Gestures
Baran, Mateusz
Siwik, Leszek
Rzecki, Krzysztof
ARTIFICIAL INTELLIGENCEAND SOFT COMPUTING, PT I, 2019, 11508 : 553 - 560
[43] Structural damage recognition by grouped data based on Principal Component Analysis theory
Li, Wei-ming
Zhu, Hong-ping
Ding, Lie-yun
Luo, Han-bin
AUTOMATION IN CONSTRUCTION, 2012, 22 : 258 - 270
[44] Automatic Target Recognition Based on Discrete Wavelet Transform and Principal Component Analysis
Xu, Ning
Jia, Ping
2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2012,
[45] Inrush current recognition in power transformer based on modified principal component analysis
Wang, Zeng-Ping
Wang, Xue
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2011, 39 (22): : 1 - 5
[46] SAR Target Feature Extraction and Recognition Based Multilinear Principal Component Analysis
Hu, Liping
Xing, Xiaoyu
INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION, 2014, 9301
[47] Gradient and principal component analysis based texture recognition system: A comparative study
Pradhan, Ratika
Bhutia, Zangpo Gyalsten
Nasipuri, M.
Pradhan, Mohan P.
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS, 2008, : 1222 - +
[48] Wavelet Decomposition Based Principal Component Analysis for Face Recognition Using MATLAB
Sharma, Mahesh Kumar
Sharma, Shashikant
Leeprechanon, Nopbhorn
Ranjan, Aashish
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS-2015), 2016, 1715
[49] Coupled principal component analysis based face recognition in heterogeneous sensor networks
Zhang, Zhong
Liu, Shuang
SIGNAL PROCESSING, 2016, 126 : 134 - 140
[50] Face recognition with the use of principal component analysis based on artificial neural networks
Kahraman, F
Gokmen, M
PERCEPTION, 2002, 31 : 139 - 139

← 1 2 3 4 5 →