*This research was funded by DARPA through SPAWAR under Grant No. N ABSTRACT In this paper we explore the use of nonlinear Teager Energy Operator based features derived from multiresolution sub-band analysis for classification of emotional/stressful speech. We propose a novel scheme for automatic sub-band weighting in an effort towards developing a generic algorithm for understanding emotion or...

This paper describes an emotional speech synthesis system based on HMMs and related modeling techniques. For concatenative speech synthesis, we require all of the concatenation units that will be used to be recorded beforehand and made available at synthesis time. To adopt this approach for synthesizing the wide variety of human emotions possible in speech, implies that this process should be r...

Since emotional speech can be regarded as a variation on neutral (non-emotional) speech, it is expected that a robust neutral speech model can be useful in contrasting different emotions expressed in speech. This study explores this idea by creating acoustic models trained with spectral features, using the emotionally-neutral TIMIT corpus. The performance is tested with two emotional speech dat...

In order to investigate the lateralization of emotional speech we recorded the brain responses to three emotional intonations in two conditions, i.e., "normal" speech and "prosodic" speech (i.e., speech with no linguistic meaning, but retaining the 'slow prosodic modulations' of speech). Participants listened to semantically neutral sentences spoken with a positive, neutral, or negative intonat...

A database of recordings of Danish Emotional Speech, DES, has been recorded and analysed. DES has been collected in order to evaluate how well the emotional state in emotional speech is identified by humans. The results sets a standard for identifying Danish emotional speech. DES contains recordings from four actors, two of each gender. Actors were used for the recordings as they were believed ...