Random feature expansions for deep Gaussian processes
The composition of multiple Gaussian Processes as a Deep Gaussian Process DGP
enables a deep probabilistic nonparametric approach to flexibly tackle complex machine …
enables a deep probabilistic nonparametric approach to flexibly tackle complex machine …
Affective and behavioural computing: Lessons learnt from the first computational paralinguistics challenge
In this article, we review the INTERSPEECH 2013 Computational Paralinguistics ChallengE
(ComParE)–the first of its kind–in light of the recent developments in affective and …
(ComParE)–the first of its kind–in light of the recent developments in affective and …
The mirror to our soul? Comparisons of spontaneous and posed vocal expression of emotion
PN Juslin, P Laukka, T Bänziger - Journal of nonverbal behavior, 2018 - Springer
It has been the subject of much debate in the study of vocal expression of emotions whether
posed expressions (eg, actor portrayals) are different from spontaneous expressions. In the …
posed expressions (eg, actor portrayals) are different from spontaneous expressions. In the …
Automatic fight detection in surveillance videos
Affective computing is an up-surging research area relying on multimodal multimedia
information processing techniques to study human interaction. Social signal processing …
information processing techniques to study human interaction. Social signal processing …
Detection of overlapping speech for the purposes of speaker diarization
The presence of overlapping speech has a significant negative impact on the performance
of speaker diarization systems. In this paper, we employ a convolutional neural network for …
of speaker diarization systems. In this paper, we employ a convolutional neural network for …
[PDF][PDF] Assessing the degree of nativeness and Parkinson's condition using Gaussian processes and deep rectifier neural networks
Abstract The Interspeech 2015 Computational Paralinguistics Challenge includes two
regression learning tasks, namely the Parkinson's Condition Sub-Challenge and the Degree …
regression learning tasks, namely the Parkinson's Condition Sub-Challenge and the Degree …
Overlapped Speech Detection and Competing Speaker Counting–‐Humans Versus Deep Learning
A natural evolution of applications that analyze speech is to improve their robustness to multi-
speaker environments. Humans use selective auditory attention and can easily switch focus …
speaker environments. Humans use selective auditory attention and can easily switch focus …
Deep learning for prominence detection in children's read speech
The detection of perceived prominence in speech has attracted approaches ranging from
the design of knowledge-based linguistic and acoustic features to the automatic feature …
the design of knowledge-based linguistic and acoustic features to the automatic feature …
When the words are not everything: the use of laughter, fillers, back-channel, silence, and overlapping speech in phone calls
A Vinciarelli, P Chatziioannou, A Esposito - Frontiers in ICT, 2015 - frontiersin.org
This article presents an observational study on how some common conversational cues–
laughter, fillers, back-channel, silence, and overlapping speech–are used during mobile …
laughter, fillers, back-channel, silence, and overlapping speech–are used during mobile …
Random discriminative projection based feature selection with application to conflict recognition
Computational paralinguistics deals with underlying meaning of the verbal messages, which
is of interest in manifold applications ranging from intelligent tutoring systems to affect …
is of interest in manifold applications ranging from intelligent tutoring systems to affect …