Code for Training and Testing CNVVE

DOI

This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for the study. By making the dataset publicly accessible, we hope to facilitate further research and development of computational methods for non-verbal voice-based interactions.

For more info, please check the paper or feel free to contact the authors for any inquiries.

Further information can be found in the README.md.

Identifier
DOI https://doi.org/10.18419/darus-3896
Related Identifier IsCitedBy https://doi.org/10.21437/Interspeech.2023-201
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3896
Provenance
Creator Hedeshy, Ramin ORCID logo; Menges, Raphael ORCID logo; Staab, Steffen ORCID logo
Publisher DaRUS
Contributor Hedeshy, Ramin; Analytical Computing
Publication Year 2024
Funding Reference BMWK/ESF 03EFRBW231 ; BMBF 16DHBKI041
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Hedeshy, Ramin (Universität Stuttgart); Analytical Computing (Universität Stuttgart)
Representation
Resource Type Dataset
Format audio/vnd.wave; text/x-python; application/json; application/octet-stream; text/plain; charset=US-ASCII; text/markdown; text/plain
Size 5468518; 2912726; 1325702; 3822; 1182; 7161; 7092458; 4641; 518; 1308; 3458; 1654706; 68; 80044; 32044; 1057; 1561271; 2900; 3779; 2624; 228; 900882; 88; 19646; 4214666; 3370874
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences