http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Schuller11-RRE.pdf

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

The HUMAINE project is concerned with developing interfaces that will register and respond to emotion, particularly pervasive emotion (forms of feeling, expression and action that colour most of human life). The HUMAINE Database provides naturalistic clips which record that kind of material, in multiple modalities, and labelling techniques that are suited to describing it.

/pdf/the-humaine-database-addressing-the-collection-and-3ffxormqna.pdf

The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data

As the recognition of emotion from speech has matured to a degree where it becomes applicable in real-life settings, it is time for a realistic view on obtainable performances. Most studies tend to overestimation in this respect: Acted data is often used rather than spontaneous data, results are reported on preselected prototypical data, and true speaker disjunctive partitioning is still less common than simple cross-validation. Even speaker disjunctive evaluation can give only a little insight into the generalization ability of today's emotion recognition engines since training and test data used for system development usually tend to be similar as far as recording conditions, noise overlay, language, and types of emotions are concerned. A considerably more realistic impression can be gathered by interset evaluation: We therefore show results employing six standard databases in a cross-corpora evaluation experiment which could also be helpful for learning about chances to add resources for training and overcoming the typical sparseness in the field. To better cope with the observed high variances, different types of normalization are investigated. 1.8 k individual evaluations in total indicate the crucial performance inferiority of inter to intracorpus testing.

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

http://felix.syntheticspeech.de/publications/ParalingusiticChallenge2010_CSL.pdf

Paralinguistics in speech and language-State-of-the-art and the challenge

https://hal.archives-ouvertes.fr/hal-00499211/document

Fear-type emotion recognition for future audio-based surveillance systems

Working with emotion-related states in technological contexts requires a standard representation format. Based on that premise, the W3C Emotion Incubator group was created to lay the foundations for such a standard. The paper reports on two results of the group's work: a collection of use cases, and the resulting requirements. We compiled a rich collection of use cases, and grouped them into three types: data annotation, emotion recognition, and generation of emotion-related behaviour. Out of these, a structured set of requirements was distilled. It comprises the representation of the emotion-related state itself, some meta-information about that representation, various kinds of links to the "rest of the world", and several kinds of global metadata. We summarise the work, and provide pointers to the working documents containing full details.

/pdf/what-should-a-generic-emotion-markup-language-be-able-to-3iykvr3abg.pdf

What Should a Generic Emotion Markup Language Be Able to Represent

Emotion AI Emotion and Personality Synthesis technology is a solution to the problem of displaying expressive lifelike digital characters without the time and costs involved with traditional hand animation or motion capture. In addition these characters are fully interactive, being driven procedurally using various forms of pre processed input that are modulated through a system that simulates various neural pathways, neuro chemicals and neuro transmitters and finally models output through the various nerve pathways involved in facial expression and body posture muscle contractions.

Ian Wilson

Papers

What Should a Generic Emotion Markup Language Be Able to Represent

Dynamic emotion and personality synthesis