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
相关论文
共 50 条
  • [21] AN OPEN/FREE DATABASE AND BENCHMARK FOR UYGHUR SPEAKER RECOGNITION
    Rozi, Askar
    Wang, Dong
    Zhang, Zhiyong
    Zheng, Thomas Fang
    2015 INTERNATIONAL CONFERENCE ORIENTAL COCOSDA HELD JOINTLY WITH 2015 CONFERENCE ON ASIAN SPOKEN LANGUAGE RESEARCH AND EVALUATION (O-COCOSDA/CASLRE), 2015, : 81 - 85
  • [22] POLYCOST: A telephone-speech database for speaker recognition
    Hennebert, J
    Melin, H
    Petrovska, D
    Genoud, D
    SPEECH COMMUNICATION, 2000, 31 (2-3) : 265 - 270
  • [23] y SPEAKER RECOGNITION FOR PASHTO SPEAKERS BASED ON ISOLATED DIGITS RECOGNITION USING ACCENT AND DIALECT APPROACH
    Shah, Shahid Munir
    Memon, Muhammad
    Salam, Muhammad Hammad U.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2020, 15 (04): : 2190 - 2207
  • [24] Material Recognition in the Wild with the Materials in Context Database
    Bell, Sean
    Upchurch, Paul
    Snavely, Noah
    Bala, Kavita
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, : 3479 - 3487
  • [25] QSDAS: NEW QURANIC SPEECH DATABASE FOR ARABIC SPEAKER RECOGNITION
    Harrag, A.
    Mohamadi, T.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2010, 35 (2C) : 7 - 19
  • [26] Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild
    Bianco, Simone
    Cereda, Elia
    Napoletano, Paolo
    2018 IEEE 8TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), 2018,
  • [27] Multi-style speaker recognition database in practical conditions
    Das R.K.
    Jelil S.
    Prasanna S.R.M.
    Das, Rohan Kumar (rohankd@iitg.ernet.in), 2018, Springer Science and Business Media, LLC (21) : 409 - 419
  • [28] Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition
    Myung-jae Kim
    Il-ho Yang
    Min-seok Kim
    Ha-jin Yu
    Frontiers of Information Technology & Electronic Engineering, 2017, 18 : 738 - 750
  • [29] Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition
    Myung-jae KIM
    Il-ho YANG
    Min-seok KIM
    Ha-jin YU
    Frontiers of Information Technology & Electronic Engineering, 2017, (05) : 738 - 750
  • [30] Histogram equalization using a reduced feature set of background speakers' utterances for speaker recognition
    Kim, Myung-jae
    Yang, Il-ho
    Kim, Min-seok
    Yu, Ha-jin
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 18 (05) : 738 - 750
12345