{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:46:06Z","timestamp":1776887166492,"version":"3.51.2"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683505","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T16:01:56Z","timestamp":1555516916000},"page":"241-245","source":"Crossref","is-referenced-by-count":7,"title":["Piano Sustain-pedal Detection Using Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Beici","family":"Liang","sequence":"first","affiliation":[{"name":"Centre for Digital Music, Queen Mary University of London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gy\u00f6rgy","family":"Fazekas","sequence":"additional","affiliation":[{"name":"Centre for Digital Music, Queen Mary University of London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Sandler","sequence":"additional","affiliation":[{"name":"Centre for Digital Music, Queen Mary University of London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"General-purpose tagging of freesound audio with au-dioset labels: Task description, dataset, and baseline","author":"fonseca","year":"2018","journal-title":"Submitted to DCASE2018 Workshop"},{"key":"ref11","article-title":"A comparison on audio signal pre-processing methods for deep neural networks on music tagging","author":"choi","year":"2018","journal-title":"European Signal Processing Conference (EUSIPCO)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952601"},{"key":"ref13","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfit-ting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref14","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref15","article-title":"Kapre: On-gpu audio preprocessing layers for a quick implementation of deep neural network models with keras","author":"choi","year":"2017","journal-title":"Machine Learning for Music Discovery Workshop at 34th International Conference on Machine Learning"},{"key":"ref16","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref17","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015","journal-title":"Software"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952585"},{"key":"ref4","article-title":"Detection of piano pedaling techniques on the sustain pedal","author":"liang","year":"2017","journal-title":"Audio Eng Soc Convention"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1121\/1.2756172"},{"key":"ref6","first-page":"98","article-title":"A single-step approach to musical tempo estimation using a convolutional neural network","author":"schreiber","year":"2018","journal-title":"19th International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553341"},{"key":"ref8","first-page":"50","article-title":"Onsets and frames: Dual-objective piano transcription","author":"hawthorne","year":"2018","journal-title":"19th International Society for Music Information Retrieval Conference (IS-MIR)"},{"key":"ref7","first-page":"506","article-title":"Revisiting singing voice detection: A quantitative review and the future outlook","author":"lee","year":"2018","journal-title":"19th International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref2","article-title":"Piano ”forte pedal “ analysis and detection","author":"badeau","year":"2008","journal-title":"124th Convention of the Audio Engineering Society"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5642\/perfpr.199306.02.08"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/5.554205"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"ref21","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Brighton, UK","start":{"date-parts":[[2019,5,12]]},"end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683505.pdf?arnumber=8683505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:14:43Z","timestamp":1756754083000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683505\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683505","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}