The Speakers in the Wild (SITW) Speaker Recognition Database

被引：168
|
作者：
McLaren, Mitchell [1 ]
Ferrer, Luciana [2 ,3 ]
Castan, Diego [1 ]
Lawson, Aaron [1 ]
机构：
[1] SRI Int, Speech Technol & Res Lab, Menlo Pk, CA 94025 USA
[2] Univ Buenos Aires, FCEN, Dept Comp, Buenos Aires, DF, Argentina
[3] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
来源：
17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES | 2016年
关键词：
speaker recognition; database; real-world data;
D O I：
10.21437/Interspeech.2016-1129
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The Speakers in the Wild (SITW) speaker recognition database contains hand-annotated speech samples from open-source media for the purpose of benchmarking text-independent speaker recognition technology on single and multi-speaker audio acquired across unconstrained or "wild" conditions. The database consists of recordings of 299 speakers, with an average of eight different sessions per person. Unlike existing databases for speaker recognition, this data was not collected under controlled conditions and thus contains real noise, reverberation, intraspeaker variability and compression artifacts. These factors are often convolved in the real world, as the SITW data shows, and they make SITW a challenging database for single- and multi speaker recognition
引用
收藏
页码：818 / 822
页数：5
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