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Output details

11 - Computer Science and Informatics

Imperial College London

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Output 149 of 201 in the submission
Article title

Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

Type
D - Journal article
Title of journal
Speech Communication
Article number
-
Volume number
53
Issue number
9-10
First page of article
1062
ISSN of journal
0167-6393
Year of publication
2011
URL
-
Number of additional authors
3
Additional information

<17>Summarises the first official Challenge on Emotion Recognition from Speech I organised. It laid the foundation for a highly successful series of events (8 by now, 66 teams participating in the current one) and likewise for an invited overview in the highly prestigious IEEE Signal Processing Magazine, an ERC Starting Grant ("iHEARu", 9%/3329, 1.5 Mio EUR, 60 months, in negotiation) to continue driving Computational Paralinguistics, and a book published with Wiley. It also introduces for the first time intelligent data sampling, compares dynamic and static modelling, and shows fusion of engines to reach the best result on the task.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
A - Logic and Artificial Intelligence
Citation count
69
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-