Dataset for ICASSP 2026 Cadenza Challenge: Predicting Lyric Intelligibility (CLIP)
Description
CadenzaThis is the training and validation data for the ICASSP 2026 Cadenza Challenge: Predicting Lyrics Intelligibility (CLIP1)Understanding the lyrics in music is key for music enjoyment [1]. People with hearing loss can have difficulties to clearly and effortlessly hearing lyrics [2], however. In speech technology, having metrics to automatically evaluate intelligibility has driven improvements in speech enhancement. We want to do the same for music with lyrics!A detailed description of the challenge can be found on our websiteLicenseThis dataset is shared under the CPC-4 License (Creative Production Commons 4.0).CitationIf you use this dataset in your work, please cite the papers, not the Zenodo record:Roa-Dabike, G., Cox, T. J., Barker, J. P., Fazenda, B. M., Graetzer, S., Vos, R. R., Akeroyd, M. A., Firth, J., Whitmer, W. M., Bannister, S., & Greasley, A. (submitted). The Cadenza Lyric Intelligibility Prediction (CLIP) Dataset. Data in Brief.Roa-Dabike, G., Barker, J. P., Cox, T. J., Akeroyd, M. A., Bannister, S., Fazenda, B., Firth, J., Graetzer, S., Greasley, A., Vos, R. R., & Whitmer, W. M. (2026). Overview of the ICASSP 2026 Cadenza Challenge: Predicting Lyric Intelligibility (Manuscript submitted for publication). IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).Bibtext@article{roa2025clip, title = {The Cadenza Lyric Intelligibility Prediction (CLIP) Dataset}, author = {Roa-Dabike, Gerardo and Cox, Trevor J. and Barker, Jon P. and Fazenda, Bruno M. and Graetzer, Simone and Vos, Rebecca R. and Akeroyd, Michael A. and Firth, Jennifer and Whitmer, William M. and Bannister, Scott and Greasley, Alinka}, journal = {Data in Brief}, year = {2025}}@inproceedings{roa2026cadenza_overview, title = {Overview of the ICASSP 2026 Cadenza Challenge: Predicting Lyric Intelligibility}, author = {Roa-Dabike, Gerardo and Barker, Jon P. and Cox, Trevor J. and Akeroyd, Michael A. and Bannister, Scott and Fazenda, Bruno and Firth, Jennifer and Graetzer, Simone and Greasley, Alinka and Vos, Rebecca R. and Whitmer, William M.}, booktitle = {Proc. IEEE ICASSP}, year = {2026}, note = {To appear}}
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Publication Details
DOI
Publisher
Cadenza Project
Subfield
Signal Processing
Field
Computer Science
Domain
Physical Sciences
Confidence Score
39%
Source
Scholar Data Model