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.

Publication
Proceedings Interspeech 2017
Guillermo Hidalgo Gadea
Guillermo Hidalgo Gadea
PhD Student in Psychology

My research interests include embodied cognition, animal behavior and machine learning.