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The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats
The INTERSPEECH 2018 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Atypical AffectExpand
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The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language
The INTERSPEECH 2016 Computational Paralinguistics Challenge addresses three different problems for the first time in research competition under well-defined conditions: classification of deceptiveExpand
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Snore Sound Classification Using Image-Based Deep Spectrum Features
In this paper, we propose a method for automatically detecting various types of snore sounds using image classification convolutional neural network (CNN) descriptors extracted from audio fileExpand
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Deep Scalogram Representations for Acoustic Scene Classification
Spectrogram representations of acoustic scenes have achieved competitive performance for acoustic scene classification. Yet, the spectrogram alone does not take into account a substantial amount ofExpand
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Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning.
Due to the complex and intricate nature associated with their production, the acoustic-prosodic properties of a speech signal are modulated with a range of health related effects. There is an activeExpand
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The Perception of Emotions in Noisified Nonsense Speech
Noise pollution is part of our daily life, affecting millions of people, particularly those living in urban environments. Noise alters our perception and decreases our ability to understand others.Expand
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Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results
Humanoid robots have in recent years shown great promise for supporting the educational needs of children on the autism spectrum. To further improve the efficacy of such interactions, user-adaptationExpand
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Categorical vs Dimensional Perception of Italian Emotional Speech
Culture and measurement strategies are influential factors when evaluating the perception of emotion in speech. However, multilingual databases suitable for such a study are missing, and there is noExpand
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Emotional expression in psychiatric conditions: New technology for clinicians.
AIM Emotional expressions are one of the most widely studied topics in neuroscience, from both clinical and non-clinical perspectives. Atypical emotional expressions are seen in various psychiatricExpand
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