COMPARING HUMAN AND AUTOMATED SPEAKER RECOGNITION IN CASE OF IMITATED SPEECH

被引：0
|
作者：
Delic, Tijana [1 ]
Duric, Simona [1 ]
Josic, Slobodan [1 ]
机构：
[1] Univ Novom Sadu, Fak Tehnickih Nauka, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia
来源：
2015 23RD TELECOMMUNICATIONS FORUM TELFOR (TELFOR) | 2015年
关键词：
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The voice of each speaker is unique. which means that speaker identification based on voice is possible. but there are no reliable methods for that, vet. The reason is that the voice of a speaker can vary a lot and that different voices can sometimes sound quite similar. The aim of this research is to determine which features are the most important to humans for speaker identification. as well as features which the automated speaker recognition system relies on.
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页码：425 / 428
页数：4
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