The Variably Intense Vocalizations of Affect and Emotion Corpus (VIVAE)

<p>&nbsp;</p> <p><strong>VIVAE</strong></p> <p>The Variably Intense Vocalizations of Affect and Emotion Corpus (VIVAE) consists of a set of human non-speech emotion vocalizations. The<em>&nbsp;full set,</em> 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&nbsp;<em>core set&nbsp;</em>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.&nbsp;</p> <p>&nbsp;</p> <p>Please visit our academic paper for full details:&nbsp;</p> <p><strong>Holz, N., Larrouy-Maestri, P., &amp; Poeppel, D. (2022). The Variably Intense Vocalizations of Affect and Emotion (VIVAE) corpus prompts new perspective on nonspeech perception.&nbsp;<em>Emotion, 22</em>(1), 213&ndash;225. <a href="http://dx.doi.org/10.1037/emo0001048">http://dx.doi.org/10.1037/emo0001048</a>&nbsp;&nbsp;</strong></p> <p>&nbsp;</p> <p><strong>File summary</strong></p> <p>The recordings are digitized at a 44.1-kHz sampling rate and 16-bit resolution.</p> <p>Each of the 1085 VIVAE files has a unique filename following the file naming convention: [Speaker_Emotion_Intensity_Item-ID.wav]. The filename consists of a 4-part identifier (e.g., S04_surprise_peak_10.wav) defining the stimulus characteristics:</p> <p><em>Filename identifiers&nbsp;</em></p> <ul> <li>Speaker (S01 to S11).</li> <li>Emotion (achievement, anger, fear, pain, pleasure, and surprise).</li> <li>Emotional intensity (low, moderate, strong, peak).</li> <li>Item-ID (unique integer identifier within speaker x emotion x intensity conditions)&nbsp;</li> </ul> <p><em>Folder structure</em></p> <ul> <li>Full set: all 1085 VIVAE files</li> <li>Core set: selected 480 VIVAE files&nbsp;</li> </ul> <p>&nbsp;</p> <p><strong>Citing the VIVAE</strong></p> <p>Please cite the VIVAE if it is used in your work in any form. Academic works should use the citation for our academic paper.</p> <p>Holz, N., Larrouy-Maestri, P., &amp; Poeppel, D. (2022). The Variably Intense Vocalizations of Affect and Emotion (VIVAE) corpus prompts new perspective on nonspeech perception.&nbsp;<em>Emotion, 22</em>(1), 213-225. http://dx.doi.org/10.1037/emo0001048<strong>&nbsp;</strong></p> <p>&nbsp;</p> <p><strong>License information</strong></p> <p>The VIVAE is released under a Creative Commons Attribution-NonCommercial&nbsp;4.0 International License, <a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode">CC BY-NC 4.0</a>.&nbsp;</p> <p>For VIVAE usage inquiries&nbsp;not specified or accredited under the CC BY-NC 4.0&nbsp;license,&nbsp;please contact us at&nbsp;<a href="mailto:natalie.holz@ae.mpg.de">natalie.holz@ae.mpg.de</a>&nbsp;to request permission.</p> <p>&nbsp;</p>