Real-Time Speaker Identification System using Cepstral Features

被引：0
|
作者：
Barik, Monalisha [1 ]
Sarangi, Susanta Kumar [2 ]
Sahu, Sushanta Kumar [1 ]
机构：
[1] Coll Engn & Technol, Dept Instrumentat & Elect Engn, Bhubaneswar, Orissa, India
[2] SOA Univ, ITER, Dept Elect & Commun Engn, Bhubaneswar, Orissa, India
来源：
2016 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND INTELLIGENT SYSTEMS (CCIS) | 2016年
关键词：
Bark Scale; Feature Extraction; Mel Scale; ERB Scale; MFCC; GMM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Real-time speaker identification (SI) system is the application of Biometric system where the voice samples are collected in real-time. Due to that contamination of noises in speaker samples are the natural scenario. In this work, we tried to increase the accuracy of real-time SI system. We analysed the SI system by using different feature extraction methods with GMM-ML classifier. We found that MFCC feature extraction method is the best one among other cepstral features in real-time SI system also. We used different scale based feature extraction methods for the evaluation of SI system. We used the database for SI system created in real-time.
引用
收藏
页码：89 / 93
页数：5
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