21.442, Confs: Computational Ling, Text/Corpus Ling/Malta

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LINGUIST List: Vol-21-442. Wed Jan 27 2010. ISSN: 1068 - 4875.

Subject: 21.442, Confs: Computational Ling, Text/Corpus Ling/Malta

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1)
Date: 27-Jan-2010
From: Bjoern Schuller < schuller at tum.de >
Subject: Third LREC Workshop on Emotion
 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 27 Jan 2010 15:26:53
From: Bjoern Schuller [schuller at tum.de]
Subject: Third LREC Workshop on Emotion

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Third LREC Workshop on Emotion 
Short Title: EMOTION 

Date: 23-May-2010 - 23-May-2010 
Location: Valletta, Malta 
Contact: Bjoern Schuller 
Contact Email: lrec-emotion at limsi.fr 
Meeting URL: http://emotion-research.net/sigs/speech-sig/emotion-workshop 

Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics 

Meeting Description: 

Recognition of emotion in speech has recently matured to one of the key disciplines in speech analysis serving next generation human-machine and -robot communication and media retrieval systems. However, compared to automatic speech and speaker recognition, where several hours of speech of a multitude of speakers in a great variety of different languages are available, sparseness of resources has accompanied emotion research to the present day: genuine emotion is hard to collect, ambiguous to annotate, and tricky to distribute due to privacy preservation.

The few available corpora suffer from a number of issues owing to the peculiarity of this young field: as in no related task, different forms of modelling reaching from discrete over complex to continuous emotions exist, and ground truth is never solid due to the often highly different perception of the mostly very few annotators. Given by the data sparseness - most widely used corpora feature below 30 min of speech - cross-validation without strict test, development, and train partitions, and without strict separation of speakers throughout partitioning are the predominant evaluation strategy, which is obviously sub-optimal. Acting of emotions was often seen as a solution to the desperate need for data, which often resulted in further restrictions such as little variation of spoken content or few speakers. As a result, many interesting potentially progressing ideas cannot be addressed, as clustering of speakers or the influence of languages, cultures, speaker health state, !
 etc.

Previous LREC workshops on Corpora for research on Emotion and Affect (at LREC 2006 and 2008) have helped to consolidate the field, and in particular there is now growing experience of not only building databases but also using them to build systems (for both synthesis and detection). This workshop aims to continue the process, and lays particular emphasis on showing how databases can be or have been used for system building. 







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