日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

会議論文

The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring

MPS-Authors
/persons/resource/persons84362

Casillas,  Marisa
Language and Cognition Department, MPI for Psycholinguistics, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)

Schuller_etal_2017.PDF
(出版社版), 214KB

付随資料 (公開)
There is no public supplementary material available
引用

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., Trigeorgis, G., Tzirakis, P., & Zafeiriou, S. (2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. In Proceedings of Interspeech 2017 (pp. 3442-3446). doi:10.21437/Interspeech.2017-43.


引用: https://hdl.handle.net/11858/00-001M-0000-002C-A619-8
要旨
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 subchallenge, 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-audiowords for the first time in the challenge series