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There has been rapid development in conceptions of the kind of database that is needed for emotion research. Familiar archetypes are still influential, but the state of the art has moved beyond them. There is concern to capture emotion as it occurs in action and interaction ('pervasive emotion') as well as in short episodes dominated by emotion, and(More)
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(More)
Class based emotion recognition from speech, as performed in most works up to now, entails many restrictions for practical applications. Human emotion is a continuum and an automatic emotion recognition system must be able to recognise it as such. We present a novel approach for continuous emotion recognition based on Long Short-Term Memory Recurrent(More)
After a brief discussion of the threshold concept in toxicology, we consider models for the estimation of thresholds in the case where the observed response is binary or quantal. A generalization of the four-parameter Tukey-lambda family of distributions is proposed as a useful class of models for threshold estimation. Properties of these models are(More)
Asymptotic confidence bands for generalized nonlinear regression models are developed. These are based on a combination of the S method of Scheffe, together with the delta method which is used to approximate the mean function by a linear combination of the parameters. The approach can be used in any situation where large sample theory can be applied to(More)
There are multiple reasons to expect that recognising the verbal content of emotional speech will be a difficult problem, and recognition rates reported in the literature are in fact low. Including information about prosody improves recognition rate for emotions simulated by actors, but its relevance to the freer patterns of spontaneous speech is unproven.(More)
  • C Cox
  • 1995
Proportional odds regression models for multinomial probabilities based on ordered categories have been generalized in two somewhat different directions. Models having scale as well as location parameters for adjustment of boundaries (on an unobservable, underlying continuum) between categories have been employed in the context of ROC analysis. Partial(More)
The aim of the paper is to document and share an induction technique (The Sensitive Artificial Listener) that generates data that can be both tractable and reasonably naturalistic. The technique focuses on conversation between a human and an agent that either is or appears to be a machine. It is designed to capture a broad spectrum of emotional states,(More)
In everyday life, speech is part of a multichannel system involved in conveying emotion. Understanding how it operates in that context requires suitable data, consisting of multimodal records of emotion drawn from everyday life. This paper reflects the experience of two teams active in collecting and labelling data of this type. It sets out the core reasons(More)
We consider a regression-to-the-mean model that includes both additive and multiplicative treatment effects. We allow either or both of these treatment effects to be stratified by ranges of the first measurement. We focus on the situation where there is a very large sample on the first measurement and a relatively small subsample for the second measurement(More)