VAD, feature extraction and modelling techniques for speaker recognition: a review

被引:0
|
作者
Jainar, Spoorti J. [1 ]
Sale, Pritam Limbaji [1 ]
Nagaraja, B. G. [2 ]
机构
[1] Visvesvaraya Technol Univ, Dept E&CE, Belagavi 18, Karnataka, India
[2] Jain Inst Technol, Dept E&CE, Davangere 03, Karnataka, India
关键词
VAD; voice activity detection; speaker identification; speaker verification; language mismatch; limited data; multilingual; features; modelling techniques; SPEECH RECOGNITION; MULTITAPER MFCC; VERIFICATION; IDENTIFICATION; ALGORITHM;
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 reviews an automatic speaker recognition technology, with an emphasis on state-of-the-art voice activity detection (VAD), feature extraction and speaker-modelling techniques that have emerged during the last few years. Researchers in the field of speaker recognition have made a few attempts to recognise the speaker in the language mismatch environment and limited data condition.To address robustness issues, we also elaborate language mismatch and limited data speaker recognition. Further, this paper identified some issues with the existing speaker recognition systems and also investigated areas of possible improvements in speaker recognition field. We conclude the paper with a discussion on the possible future directions.
引用
收藏
页码:1 / 18
页数:18
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