In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice database available for scientific use, containing a total of 2,159 validated emotional voice stimuli. The EU-Emotion voice stimuli consist of audio-recordings of 54 actors, each uttering sentences with the intention of conveying 20 different emotional states (plus neutral). The database is organized in three separate emotional voice stimulus sets in three different languages (British English, Swedish, and Hebrew). These three sets were independently validated by large pools of participants in the UK, Sweden, and Israel. Participants’ validation of the stimuli included emotion categorization accuracy and ratings of emotional valence, intensit...
In this paper we propose a new approach for analysis of emotional speech prosody features. The aim o...
This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as c...
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., ...
The EU-Emotion Stimulus Set is a newly developed collection of dynamic multimodal emotion and mental...
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
This study introduces a corpus of 260 naturalistic human nonlinguistic vocalizations representing ni...
A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 1...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender ...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, comm...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
In this paper we propose a new approach for analysis of emotional speech prosody features. The aim o...
This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as c...
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., ...
The EU-Emotion Stimulus Set is a newly developed collection of dynamic multimodal emotion and mental...
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
This study introduces a corpus of 260 naturalistic human nonlinguistic vocalizations representing ni...
A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 1...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender ...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, comm...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
In this paper we propose a new approach for analysis of emotional speech prosody features. The aim o...
This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as c...
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., ...