{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T10:24:46Z","timestamp":1766053486185,"version":"3.48.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,29]]},"DOI":"10.1109\/is264627.2025.11284580","type":"proceedings-article","created":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T18:30:42Z","timestamp":1765909842000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["A Kolmogorov Arnold Network NAS Framework for Strumming Pattern Recognition in Technology-Enhanced Pop\/Rock Music Education"],"prefix":"10.1109","author":[{"given":"Marco","family":"Pennese","sequence":"first","affiliation":[{"name":"Conservatory of Music \"G. Puccini\",La Spezia,Italy"}]},{"given":"Stefano","family":"Giacomelli","sequence":"additional","affiliation":[{"name":"DISIM, University of L’Aquila, Italy,L’Aquila,Italy"}]},{"given":"Claudia","family":"Rinaldi","sequence":"additional","affiliation":[{"name":"DISIM, University of L’Aquila \/ CNIT,L’Aquila,Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3253602"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IS262782.2024.10704155"},{"article-title":"From large-scale audio tagging to real-time explainable emergency vehicle sirens detection","year":"2025","author":"Giacomelli","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF59510.2023.10335480"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-021-01554-z"},{"article-title":"The strummin\u2019 dataset: an international pop\/rock curated audio selection for strumming patterns recognition","year":"2025","author":"Pennese","key":"ref6"},{"article-title":"Mirex 2006: Audio tempo extraction","year":"2006","author":"McKinney","key":"ref7"},{"article-title":"Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections","volume-title":"Proc. of the International Conference of the Internation Society for Music Information Retrieval (ISMIR)","author":"Knees","key":"ref8"},{"key":"ref9","article-title":"Towards automatic extraction of harmony information from music signals","volume-title":"Ph.D. dissertation","author":"Harte","year":"2010"},{"article-title":"Guitarset: A dataset for guitar transcription","volume-title":"Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR)","author":"Xi","key":"ref10"},{"article-title":"The harmonix set: Beats, downbeats, and functional segment annotations of western popular music","volume-title":"Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR)","author":"Nieto","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2011-68"},{"volume-title":"Berklee Beginning Guitar.","year":"2024","author":"Perlak","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854598"},{"article-title":"Beat and downbeat tracking based on rhythmic patterns applied to the uruguayan candombe drumming","volume-title":"Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR)","author":"Nunes","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2016.7738904"},{"article-title":"A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music","volume-title":"Proc. of the International Conference of the Internation Society for Music Information Retrieval (ISMIR)","author":"Schreiber","key":"ref17"},{"article-title":"Learning to groove with inverse sequence transformations","volume-title":"Proceedings of the 36th International Conference on Machine Learning (ICML)","author":"Gillick","key":"ref18"},{"article-title":"The million song dataset","volume-title":"Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR)","author":"Bertin-Mahieux","key":"ref19"},{"key":"ref20","first-page":"605","article-title":"Essentia.js: A JavaScript Library for Music and Audio Analysis on the Web","volume-title":"Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR)","author":"Correya"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5334\/tismir.111"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s13636-025-00436-z"},{"article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","year":"2019","author":"Paszke","key":"ref23"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1109\/ICASSP43922.2022.9747236","article-title":"TorchAudio: Building Blocks for Audio and Speech Processing","author":"Yang","year":"2022"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1109\/ASRU57964.2023.10389648","article-title":"TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch","author":"Hwang","year":"2023"},{"article-title":"PyTorch Lightning","year":"2020","author":"Falcon","key":"ref26"},{"key":"ref27","first-page":"18","article-title":"librosa: Audio and Music Signal Analysis in Python","volume-title":"Proceedings of the 14th Python in Science Conference","author":"McFee"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502229"},{"key":"ref29","first-page":"34","article-title":"Evaluation of feature extractors and psycho-acoustic transformations for music genre classification","volume-title":"Proceedings of the Sixth International Conference on Music Information Retrieval (ISMIR 2005)","author":"Lidy"},{"key":"ref30","first-page":"55","article-title":"Maximum Filter Vibrato Suppression for Onset Detection","volume-title":"Proc. of the 16th Int. Conference on Digital Audio Effects (DAFx-13)","author":"B\u00f6ck"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495219"},{"key":"ref32","first-page":"644","article-title":"Rhythm classification using spectral rhythm patterns","volume-title":"ISMIR","author":"Peeters","year":"2005"},{"issue":"1","key":"ref33","first-page":"51","article-title":"Beat tracking by dynamic programming","volume-title":"Journal of New Music Research","volume":"36","author":"Ellis","year":"2007"},{"article-title":"KAN or MLP: A Fairer Comparison","year":"2024","author":"Yu","key":"ref34"},{"article-title":"Kolmogorov-Arnold Fourier Networks","year":"2025","author":"Zhang","key":"ref35"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2025-1612","article-title":"KAN You Hear Me? Exploring Kolmogorov\u2013Arnold Networks for Spoken Language Understanding","author":"Koudounas","year":"2025"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2025-1411","article-title":"Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models","author":"Phuong","year":"2025"},{"key":"ref38","first-page":"1","article-title":"Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks","volume-title":"2024 IEEE International Conference on Consumer Electronics (ICCE)","author":"Talha"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-09493-y"},{"article-title":"Learning high-frequency functions made easy with sinusoidal positional encoding","volume-title":"Proceedings of the 41st International Conference on Machine Learning","author":"Sun","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref43","article-title":"Attention is all you need","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani","year":"2017"},{"article-title":"Axial attention in multidimensional transformers","year":"2019","author":"Ho","key":"ref44"},{"key":"ref45","doi-asserted-by":"crossref","DOI":"10.2139\/ssrn.4835325","article-title":"Wav-kan: Wavelet kolmogorov-arnold networks","author":"Bozorgasl","year":"2024"},{"article-title":"Kan: Kolmogorov-arnold networks","year":"2025","author":"Liu","key":"ref46"},{"article-title":"Adam: A method for stochastic optimization","volume-title":"International Conference on Learning Representations (ICLR)","author":"Kingma","key":"ref47"}],"event":{"name":"2025 IEEE 6th International Symposium on the Internet of Sounds (IS2)","start":{"date-parts":[[2025,10,29]]},"location":"L'Aquila, Italy","end":{"date-parts":[[2025,10,31]]}},"container-title":["2025 IEEE 6th International Symposium on the Internet of Sounds (IS2)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11283123\/11283645\/11284580.pdf?arnumber=11284580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T10:19:59Z","timestamp":1766053199000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11284580\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,29]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/is264627.2025.11284580","relation":{},"subject":[],"published":{"date-parts":[[2025,10,29]]}}}