2026-10-16T20:14:26Z https://data.mendeley.com/oai

oai:data.mendeley.com/x493z8nmwc.2 2026-09-12T00:41:36Z

Tawfik, Mohammed InfantCry-DBL: A Two-Tier Annotated Corpus of Infant Cries Labelled with Dunstan Baby Language Categories (eairh, eh, heh, neh, owh) Mendeley Data A per-clip manifest (metadata.csv, 1,551 rows) accompanies the audio and lists, for each WAV file, its tier, class, anonymised clip ID, gender (Tier 2), duration, sample rate, channel count, bit depth, and file size. The parent folder name is the authoritative class label in all cases. A README.md and an extended DATASET_DESCRIPTION.md are included with full methodology, known issues, recommended evaluation protocol, and citation details. Released under CC BY 4.0. If you use this dataset in your research or project, please cite the following paper: M. Tawfik, "Sinc-Mamba-KAN: A Hybrid Learnable-Filter, Selective State-Space, and Kolmogorov–Arnold Network for Interpretable Infant Pre-Cry Classification," IEEE Access, vol. 14, 2026. doi: 10.1109/ACCESS.2026.3733522. Signal Processing Dataset doi:10.17632/x493z8nmwc.2 oai:data.mendeley.com/x493z8nmwc.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/x493z8nmwc 2026-09-12T00:41:36Z