Feb. 28, 2024, 5:49 a.m. | Luc\'ia G\'omez Zaragoz\'aHUMAN-tech Institute, Universitat Polit\`enica de Val\`encia, Valencia, Spain, Roc\'io del AmorHUMAN-tech Institute, Univers

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.17496v1 Announce Type: cross
Abstract: Emotional Voice Messages (EMOVOME) is a spontaneous speech dataset containing 999 audio messages from real conversations on a messaging app from 100 Spanish speakers, gender balanced. Voice messages were produced in-the-wild conditions before participants were recruited, avoiding any conscious bias due to laboratory environment. Audios were labeled in valence and arousal dimensions by three non-experts and two experts, which were then combined to obtain a final label per dimension. The experts also provided an extra …

abstract app arxiv audio bias conversations cs.ai cs.cl cs.sd database dataset eess.as emotion environment gender laboratory messages messaging recognition spanish speakers speech type voice

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