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

نویسندگان

  • Björn W. 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
چکیده

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.

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تاریخ انتشار 2017