Audiovisual classification of vocal outbursts in human conversation using long-short-term memory networks

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Audiovisual classification of vocal outbursts in human conversation using long-short-term memory networks

We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful dynamic sequence classifiers. As database of evaluation serves this year's Paralinguistic Challenge's Audiovisual...

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Bibliographic Details
Main Authors:	Eyben, F., Petridis, S., Schuller, Björn, Tzimiropoulos, Georgios, Zafeiriou, Stefanos, Pantic, Maja
Format:	Conference or Workshop Item
Published:	2011
Subjects:	Audio Signal Processing Audio-Visual Systems Recurrent Neural Nets Support Vector Machines Video Signal Processing
Online Access:	https://eprints.nottingham.ac.uk/31428/

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