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

Björn Schuller; Stefan Steidl; Anton Batliner; Elika Bergelson; Jarek Krajewski; Christoph Janott; Andrei Amatuni; Marisa Casillas; Amanda Seidl; Melanie Soderstrom; Anne S. Warlaumont; Guillermo Hidalgo; Sebastian Schnieder; Clemens Heiser; Winfried Hohenhorst; Michael Herzog; Maximilian Schmitt; Kun Qian; Yue Zhang; George Trigeorgis; Panagiotis Tzirakis; Stefanos Zafeiriou

doi:10.21437/Interspeech.2017-43

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

Björn Schuller
, Stefan Steidl
, Anton Batliner
, Elika Bergelson
, Jarek Krajewski
, Christoph Janott
, Andrei Amatuni
, Marisa Casillas
, Amanda Seidl
, Melanie Soderstrom
, Anne S. Warlaumont
, Guillermo Hidalgo
, Sebastian Schnieder
, Clemens Heiser
, Winfried Hohenhorst
, Michael Herzog
, Maximilian Schmitt
, Kun Qian
, Yue Zhang
, George Trigeorgis

Panagiotis Tzirakis, Stefanos Zafeiriou

Department of Otolaryngology

Research output: Contribution to journal › Conference article › peer-review

147 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	3442-3446
Number of pages	5
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	2017-August
DOIs	https://doi.org/10.21437/Interspeech.2017-43
State	Published - 2017
Event	18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017 - Stockholm, Sweden Duration: 20 Aug 2017 → 24 Aug 2017

Keywords

Addressee
Challenge
Child directed speech
Computational paralinguistics
Snoring
Speech under cold

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10.21437/Interspeech.2017-43

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Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., ... Zafeiriou, S. (2017). The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017-August, 3442-3446. https://doi.org/10.21437/Interspeech.2017-43

@article{f26e1e7940a74a488cdb100acfe9376d,

title = "The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold \& Snoring",

abstract = "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.",

keywords = "Addressee, Challenge, Child directed speech, Computational paralinguistics, Snoring, Speech under cold",

author = "Bj{\"o}rn Schuller and Stefan Steidl and Anton Batliner and Elika Bergelson and Jarek Krajewski and Christoph Janott and Andrei Amatuni and Marisa Casillas and Amanda Seidl and Melanie Soderstrom and Warlaumont, \{Anne S.\} and Guillermo Hidalgo and Sebastian Schnieder and Clemens Heiser and Winfried Hohenhorst and Michael Herzog and Maximilian Schmitt and Kun Qian and Yue Zhang and George Trigeorgis and Panagiotis Tzirakis and Stefanos Zafeiriou",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 ISCA.; 18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017 ; Conference date: 20-08-2017 Through 24-08-2017",

year = "2017",

doi = "10.21437/Interspeech.2017-43",

language = "English",

volume = "2017-August",

pages = "3442--3446",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

publisher = "International Speech Communication Association",

}

Schuller, B, Steidl, S, Batliner, A, Bergelson, E, Krajewski, J, Janott, C, Amatuni, A, Casillas, M, Seidl, A, Soderstrom, M, Warlaumont, AS, Hidalgo, G, Schnieder, S, Heiser, C, Hohenhorst, W, Herzog, M, Schmitt, M, Qian, K, Zhang, Y, Trigeorgis, G, Tzirakis, P & Zafeiriou, S 2017, 'The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring', Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, vol. 2017-August, pp. 3442-3446. https://doi.org/10.21437/Interspeech.2017-43

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. / Schuller, Björn; Steidl, Stefan; Batliner, Anton et al.
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2017-August, 2017, p. 3442-3446.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - The INTERSPEECH 2017 Computational Paralinguistics Challenge

T2 - 18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017

AU - Schuller, Björn

AU - Steidl, Stefan

AU - Batliner, Anton

AU - Bergelson, Elika

AU - Krajewski, Jarek

AU - Janott, Christoph

AU - Amatuni, Andrei

AU - Casillas, Marisa

AU - Seidl, Amanda

AU - Soderstrom, Melanie

AU - Warlaumont, Anne S.

AU - Hidalgo, Guillermo

AU - Schnieder, Sebastian

AU - Heiser, Clemens

AU - Hohenhorst, Winfried

AU - Herzog, Michael

AU - Schmitt, Maximilian

AU - Qian, Kun

AU - Zhang, Yue

AU - Trigeorgis, George

AU - Tzirakis, Panagiotis

AU - Zafeiriou, Stefanos

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Addressee

KW - Challenge

KW - Child directed speech

KW - Computational paralinguistics

KW - Snoring

KW - Speech under cold

UR - https://www.scopus.com/pages/publications/85034265448

U2 - 10.21437/Interspeech.2017-43

DO - 10.21437/Interspeech.2017-43

M3 - Conference article

AN - SCOPUS:85034265448

SN - 2308-457X

VL - 2017-August

SP - 3442

EP - 3446

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Y2 - 20 August 2017 through 24 August 2017

ER -

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

Abstract

Keywords

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