Vocalisation Challenge Corpus (VOC-C)

<p>&nbsp;</p> <p><strong>2022 ComParE&nbsp;Vocalisations Sub-Challenge</strong></p> <p>This repository contains the&nbsp;Vocalisation Challenge Corpus (VOC-C) for the 2022 Vocalisations Sub-Challenge of the&nbsp;Computational Paralinguistics ChallengE (ComParE).</p> <p>The corpus features human non-speech&nbsp;vocalisations,&nbsp;such as laughter, cries, moans, or screams, expressing different&nbsp;emotions, varying from mild to extreme affective intensity. The emotion classes include&nbsp;achievement/triumph, anger, fear, pain, sexual pleasure, and positive surprise.&nbsp;The data from the female speakers have been made openly&nbsp;available (see publication below); the male speakers are so far unseen. The&nbsp;data are partitioned&nbsp;into the female vocalisations in train (6 speakers, 625 items) and development (5 speakers, 460 items), and the male vocalisations (2 speakers, 276 items) in test.&nbsp;</p> <p>&nbsp;</p> <p>Please find information on&nbsp;the&nbsp;published female speaker data in&nbsp;<strong>Holz, N., Larrouy-Maestri, P., &amp; Poeppel, D. (2022). <a href="https://doi.apa.org/record/2022-30295-001?doi=1">The variably intense vocalizations of affect and emotion (VIVAE) corpus prompts new perspective on nonspeech perception.</a> <em>Emotion, 22</em>(1), 213&ndash;225.&nbsp;</strong></p> <p><em>Additional information on male speaker data:&nbsp;</em>Male speakers were&nbsp;undergraduate students at the Berklee College of Music in Boston.&nbsp;None of them underwent formal acting training or had professional acting experience. In difference to the female speakers, none of them reported&nbsp;stage experience as singers.&nbsp;Recording procedures were&nbsp;the same across all speakers; no technical validation was performed on the male speaker data.</p> <p>&nbsp;</p> <p>&nbsp;</p>