The RSR2015: Database for Text-Dependent Speaker Verification using Multiple Pass-Phrases

被引：0
|
作者：
Larcher, Anthony [1 ]
Lee, Kong Aik [1 ]
Ma, Bin [1 ]
Li, Haizhou [1 ]
机构：
[1] ASTAR, Inst Infocomm Res I2R, Singapore, Singapore
来源：
13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3 | 2012年
关键词：
database; speaker recognition; text-dependent; FACE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a new speech corpus, the RSR2015 database designed for text-dependent speaker recognition with scenario based on fixed pass-phrases. This database consists of over 71 hours of speech recorded from English speakers covering the diversity of accents spoken in Singapore. Acquisition has been done using a set of six portable devices including smart phones and tablets. The pool of speakers consists of 300 participants (143 female and 157 male speakers) from 17 to 42 years old. We propose a protocol for the case of user-dependent pass-phrases in text-dependent speaker recognition and we also report speaker recognition experiments on RSR2015 database.
引用
收藏
页码：1578 / 1581
页数：4
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