--This paper proposes the use of a minimum number of formant and bandwidth features for efficient classification of the neutral and six basic emotions in two languages. Such a minimal feature set facilitates fast and real time recognition of emotions which is the ultimate goal of any speech emotion recognition system. The investigations were done on emotional speech databases developed by the a...

The purpose of speech emotion recognition system is to classify speaker's utterances into different emotional states such as disgust, boredom, sadness, neutral and happiness. Speech features that are commonly used in speech emotion recognition (SER) rely on global utterance level prosodic features. In our work, we evaluate the impact of frame-level feature extraction. The speech samples are fro...

Speech signal is a rich source of information and convey more than spoken words, and can be divided into two main groups: linguistic and nonlinguistic. The linguistic aspects of speech include the properties of the speech signal and word sequence and deal with what is being said. The nonlinguistic properties of speech have more to do with talker attributes such as age, gender, dialect, and emot...

Context has been found to have a profound effect on the recognition of social stimuli and correlated brain activation. The present study was designed to determine whether knowledge about emotional authenticity influences emotion recognition expressed through speech intonation. Participants classified emotionally expressive speech in an fMRI experimental design as sad, happy, angry, or fearful. ...

The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. This step is necessary especially for systems that will be deployed in real-time applications. The reason for the development...

This paper addresses the issue of automatic emotion recognition in speech. We focus on a type of emotional manifestation which has been rarely studied in speech processing: fear-type emotions occurring during abnormal situations (here, unplanned events where human life is threatened). This study is dedicated to a new application in emotion recognition – public safety. The starting point of this...

This paper discusses an emotional prosody generator for a Malay speech synthesis system that can re-synthesize the selected vocal emotion from neutral synthesized speech output and improve the naturalness by adopting rulebased prosody conversion techniques. The role of prosodic features in emotional expression, particularly fundamental frequency and duration, has been widely investigated in sev...

The classification of emotional speech is mostly considered in speech-related research on human-computer interaction (HCI). In this paper, the purpose is to present a novel feature extraction based on multi-resolutions texture image information (MRTII). The MRTII feature set is derived from multi-resolution texture analysis for characterization and classification of different emotions in a spee...

Spontaneous co-speech gestures are an integral part of human communicative behavior. Little is known, however, about how they reflect a speaker’s emotional state. In this paper, we describe the setup of a novel body movement database. 32 participants were primed with emotions (happy, sad, neutral) by listening to selected music pieces and, subsequently, fulfilled a gesture-eliciting task. We pr...