Noise Robust Speech Recognition System using Mel Cepstral and Genetic Algorithm

被引：0
|
作者：
Mamta, Garg [1 ]
Shatru, Arora Ajat [2 ]
Savita, Gupta [3 ]
机构：
[1] St Longowal Inst Engn & Technol, Dept Comp Sci & Engn, Longowal, India
[2] St Longowal Inst Engn & Technol, Dept Elect & Instrumentat Engn, Longowal, India
[3] Panjab Univ, Univ Inst Engn & Technol, Dept Comp Sci & Engn, Chandigarh, India
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年
关键词：
MFCC; Speech Recognition; Genetic Algorithm; FAR; FRR; Accuracy; MFCC;
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：
This paper suggested a technique based on MFCC analysis for audio signals with speech classification application. The proposed work used multi-resolution (wavelet) analysis and spectral analysis based features for feature extraction. The proposed approach uses a no. of features like Mel Frequency Cepstral Coefficient (MFCC), and FFT Coefficients combined with wavelet based features. In addition, accuracy of 99% using the proposed work is claimed.
引用
收藏
页码：3151 / 3155
页数：5
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