VIVAE The Variably Intense Vocalizations of Affect and Emotion Corpus (VIVAE) consists of a set of human non-speech emotion vocalizations. The full set, comprising 1085 audio files, features eleven speakers expressing three positive (achievement/ triumph, sexual pleasure, and surprise) and three negative (anger, fear, physical pain) affective states, each parametrically varied from low to peak emotion intensity. The smaller core set of 480 files represents a fully crossed subsample of the full set (6 emotions x 4 intensities x 10 speakers x 2 items) selected based on judged authenticity. Please visit our academic paper for full details: Holz, N., Larrouy-Maestri, P., & Poeppel, D. (2022). The Variably Intense Vocalizations of Affect...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
Vocalizations including laughter, cries, moans, or screams constitute a potent source of information...
To ensure that listeners pay attention and do not habituate, emotionally intense vocalizations may b...
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., ...
2022 ComParE Vocalisations Sub-Challenge This repository contains the Vocalisation Challenge Corpus...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
Human vocalizations (HV), as well as environmental sounds, convey a wide range of information, inclu...
Human vocalizations (HV), as well as environmental sounds, convey a wide range of information, inclu...
This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as c...
This study introduces a corpus of 260 naturalistic human nonlinguistic vocalizations representing ni...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
DEMoS (Database of Elicited Mood in Speech), is a corpus of induced emotional speech in Italian. DEM...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
Vocalizations including laughter, cries, moans, or screams constitute a potent source of information...
To ensure that listeners pay attention and do not habituate, emotionally intense vocalizations may b...
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., ...
2022 ComParE Vocalisations Sub-Challenge This repository contains the Vocalisation Challenge Corpus...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
Human vocalizations (HV), as well as environmental sounds, convey a wide range of information, inclu...
Human vocalizations (HV), as well as environmental sounds, convey a wide range of information, inclu...
This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as c...
This study introduces a corpus of 260 naturalistic human nonlinguistic vocalizations representing ni...
The Montreal Affective Voices consist of 90 nonverbal affect bursts corresponding to the emotions of...
DEMoS (Database of Elicited Mood in Speech), is a corpus of induced emotional speech in Italian. DEM...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
The authors compared the accuracy of emotion decoding for nonlinguistic affect vocalizations, speech...
Vocalizations including laughter, cries, moans, or screams constitute a potent source of information...
To ensure that listeners pay attention and do not habituate, emotionally intense vocalizations may b...