Speech Disorder Recognition using MFCC

被引：0
|
作者：
Jhawar, Gunjan [1 ]
Nagraj, Prajacta [1 ]
Mahalakshmi, P. [2 ]
机构：
[1] Vellore Inst Technol, Dept Elect, Vellore, Tamil Nadu, India
[2] Vellore Inst Technol, Instrumentat Dept, Vellore, Tamil Nadu, India
来源：
2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1 | 2016年
关键词：
Euclidean distance; Mel Frequency Cepstral Coefficient (MFCC); MATLAB13a; Speech recognition;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Speech disability concerns communication issues encompassing hearing, speech, language and fluency. A speech recognition system is proposed to distinguish between a normal and a person having speech disability using Mel Frequency Cepstral Coefficient. The speech disability focused in this work is stuttering which is carried out on normal female speakers and female stutter speakers. This paper presents the capability of MFCC to extract features which could be used to measure the degree of speech disability. This method is a prerequisite for designing and producing standard telecommunications equipment and services that can be used to alleviate the negative consequences of a disability.
引用
收藏
页码：246 / 250
页数：5
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