Voice recognition based on MFCC, SBC and Spectrograms

被引：3
|
作者：
Martinez Mascorro, Guillermo Arturo [1 ]
Aguilar Torres, Gualberto [2 ]
机构：
[1] Inst Politecn Nacl, Ciencias Ingn Microelect, Mexico City, DF, Mexico
[2] Inst Politecn Nacl, Secc Estudios Posgrad & Invest, ESIME Culhuacan, Mexico City, DF, Mexico
来源：
INGENIUS-REVISTA DE CIENCIA Y TECNOLOGIA | 2013年 / 10期
关键词：
Speech recognition with voice changes; Mel Frequency Cepstral Coefficients; Subband-Based Cepstral Parameters; Spectrogram; Support Vector Machine;
D O I：
10.17163/ings.n10.2013.02
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
One of the problems of the Automatic Speech Recognition systems is the voice's changes. Typically, a person can have voluntary and involuntary voice's changes and the system can get confused in these cases, also the changes could be natural and artificial. This paper proposes and recognition system with a parallel identification, using three different algorithms: MFCC, SBC and Spectrogram. Using a Support Vector Machine as a classifier, every algorithm gives a group of persons with the highest likelihood and, after an evaluation, the result is obtained. The aim of this paper is to take advantage of the three algorithms.
引用
收藏
页码：12 / 20
页数：9
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