The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

被引:88
作者
Schuller, Bjoern [1 ,2 ]
Steidl, Stefan [3 ]
Batliner, Anton [2 ,3 ]
Bergelson, Elika [4 ]
Krajewski, Jarek [5 ]
Janott, Christoph [6 ]
Amatuni, Andrei [4 ]
Casillas, Marisa [7 ]
Seidl, Amanda [8 ]
Soderstrom, Melanie [9 ]
Warlaumont, Anne S. [10 ]
Hidalgo, Guillermo [5 ]
Schnieder, Sebastian [5 ]
Heiser, Clemens [6 ]
Hohenhorst, Winfried [11 ]
Herzog, Michael [12 ]
Schmitt, Maximilian [2 ]
Qian, Kun [6 ]
Zhang, Yue [1 ,6 ]
Trigeorgis, George [1 ]
Tzirakis, Panagiotis [1 ]
Zafeiriou, Stefanos [1 ,13 ]
机构
[1] Imperial Coll London, Dept Comp, London, England
[2] Univ Passau, Chair Complex & Intelligent Syst, Passau, Germany
[3] FAU Erlangen Nuremberg, Pattern Recognit Lab, Erlangen, Germany
[4] Duke Univ, Psychol & Neurosci, Durham, NC 27706 USA
[5] Univ Wuppertal, Wuppertal, Germany
[6] Tech Univ Munich, Munich, Germany
[7] Max Planck Inst Psycholinguist, Nijmegen, Netherlands
[8] Purdue Univ, Speech Language & Hearing Sci, W Lafayette, IN 47907 USA
[9] Univ Manitoba, Psychol, Winnipeg, MB, Canada
[10] Univ Calif Merced, Cognit & Informat Sci, Merced, CA USA
[11] Alfried Krupp Hosp, Clin ENT Med Head & Neck Surg, Essen, Germany
[12] Carl Thiem Klinikum, Clin ENT Med Head & Neck Surg, Cottbus, Germany
[13] Univ Oulu, Oulu, Finland
来源
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION | 2017年
基金
美国国家科学基金会; 英国工程与自然科学研究理事会; 欧洲研究理事会; 欧盟第七框架计划;
关键词
Computational Paralinguistics; Challenge; Addressee; Child Directed Speech; Speech under Cold; Snoring; SPEECH; RECOGNITION; ACOUSTICS;
D O I
10.21437/Interspeech.2017-43
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The INTERSPEECH 2017 Computational Paralinguistics Challenge addresses three different problems for the first time in research competition under well-defined conditions: In the Addressee sub-challenge, it has to be determined whether speech produced by an adult is directed towards another adult or towards a child; in the Cold sub-challenge, speech under cold has to be told apart from 'healthy' speech; and in the Snoring sub-challenge, four different types of snoring have to be classified. In this paper, we describe these sub-challenges, their conditions, and the baseline feature extraction and classifiers, which include data-learnt feature representations by end-to-end learning with convolutional and recurrent neural networks, and bag-of-audio-words for the first time in the challenge series.
引用
收藏
页码:3442 / 3446
页数:5
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