Voice Recognition and Voice Comparison using Machine Learning Techniques: A Survey

被引:0
|
作者
Tandel, Nishtha H. [1 ]
Prajapati, Harshadkumar B. [1 ]
Dabhi, Vipul K. [1 ]
机构
[1] Dharmsinh Desai Univ, Dept Informat Technol, Nadiad, India
来源
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年
关键词
voice comparison; speaker recognition; deep learning; Siamese NN; SPEAKER IDENTIFICATION;
D O I
10.1109/icaccs48705.2020.9074184
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Voice comparison is a variant of speaker recognition or voice recognition. Voice comparison plays a significant role in the forensic science field and security systems. Precise voice comparison is a challenging problem. Traditionally, different classification and comparison models were used by the researchers to solve the speaker recognition and the voice comparison, respectively but deep learning is gaining popularity because of its strength in accuracy when trained with large amounts of data. This paper focuses on an elaborated literature survey on both traditional and deep learning-based methods of speaker recognition and voice comparison. This paper also discusses publicly available datasets that are used for speaker recognition and voice comparison by researchers. This concise paper would provide substantial input to beginners and researchers for understanding the domain of voice recognition and voice comparison.
引用
收藏
页码:459 / 465
页数:7
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