{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:18:02Z","timestamp":1740100682087,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T00:00:00Z","timestamp":1631059200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T00:00:00Z","timestamp":1631059200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61877060"],"award-info":[{"award-number":["61877060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,8]]},"DOI":"10.23919\/dafx51585.2021.9768276","type":"proceedings-article","created":{"date-parts":[[2022,5,11]],"date-time":"2022-05-11T20:33:41Z","timestamp":1652301221000},"page":"292-299","source":"Crossref","is-referenced-by-count":1,"title":["Transition-Aware: A More Robust Approach for Piano Transcription"],"prefix":"10.23919","author":[{"given":"Xianke","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic Information and Communications Huazhong University of Science and Technology,Smart Internet Technology Lab,Wuhan,China,430074"}]},{"given":"Wei","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications Huazhong University of Science and Technology,Smart Internet Technology Lab,Wuhan,China,430074"}]},{"given":"Juanting","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications Huazhong University of Science and Technology,Smart Internet Technology Lab,Wuhan,China,430074"}]},{"given":"Weiming","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications Huazhong University of Science and Technology,Smart Internet Technology Lab,Wuhan,China,430074"}]},{"given":"Wenqing","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications Huazhong University of Science and Technology,Smart Internet Technology Lab,Wuhan,China,430074"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3409501.3409540"},{"key":"ref32","first-page":"367","article-title":"mir_eval: A transparent implementation of common mir metrics","author":"raffel","year":"0","journal-title":"Pro-ceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref31","first-page":"454","article-title":"Onset-aware polyphonic piano transcription: A cnn-based approach","author":"kong","year":"0","journal-title":"Proceedings of the International Workshop on Computer Science and Engineering"},{"key":"ref30","first-page":"3","article-title":"Constant-q transform tool-box for music processing","author":"sch\u00f6rkhuber","year":"0","journal-title":"Proceedings of Sound and Mu-sic Computing Conference"},{"key":"ref34","first-page":"1838","article-title":"An end-to-end approach for visual piano transcription","author":"koepke","year":"0","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref10","first-page":"161","article-title":"Crepe: A convo-lutional representation for pitch estimation","author":"li","year":"0","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683582"},{"key":"ref12","first-page":"475","article-title":"On the potential of simple framewise approaches to piano transcription","author":"kelz","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207605"},{"key":"ref14","first-page":"291","article-title":"Polyphonic piano note transcription with non-negative matrix factorization of dif-ferential spectrogram","author":"gao","year":"0","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref15","first-page":"63","article-title":"Deep salience representations for f0 estimation in polyphonic music","author":"bittner","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"journal-title":"End-to-End Music Transcription Using Fine-Tuned Variable-Q Filterbanks","year":"2019","author":"cwitkowitz","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2666183"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2018.1451546"},{"key":"ref19","article-title":"An efficient approach com-bined with harmonic and shift invariance for piano music multi-pitch detection","author":"deng","year":"0","journal-title":"Proceedings of International Work-shop on Pattern Recognition"},{"key":"ref28","first-page":"470","article-title":"A comparative study of neural models for polyphonic music sequence transduction","author":"ycart","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref4","article-title":"Enabling fac-torized piano music modeling and generation with the MAESTRO dataset","author":"hawthorne","year":"0","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref27","first-page":"454","article-title":"Blending acoustic and language model predictions for automatic music tran-scription","author":"ycart","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref3","first-page":"584","article-title":"An attack\/decay model for piano transcription","author":"cheng","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref6","article-title":"Analysis and correction of maps dataset","author":"gong","year":"0","journal-title":"Proceedings of the 22th International Con-ference on Digital Audio Effects (DAFx-19)"},{"key":"ref29","first-page":"670","article-title":"Adversarial learning for improved onsets and frames music transcription","author":"kim","year":"0","journal-title":"Proceedings of the International Society for Music Information Retrieval Conference"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2038819"},{"key":"ref8","article-title":"Giantmidi-piano: A large-scale midi dataset for classical piano music","author":"kong","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"High-resolution piano tran-scription with pedals by regressing onsets and offsets times","author":"kong","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2034186"},{"key":"ref9","first-page":"417","article-title":"Boundary detection in music structure analysis using convolutional neural net-works","author":"schl\u00fcter","year":"0","journal-title":"Proceedings of the International Society for Mu-sic Information Retrieval Conference"},{"key":"ref1","first-page":"109","article-title":"Harmonic and inhar-monic nonnegative matrix factorization for polyphonic pitch transcription","author":"vincent","year":"0","journal-title":"Proceedings of IEEE International Confer-ence on Acoustics Speech and Signal Processing"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/app7090901"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MMRP.2019.00023"},{"key":"ref21","first-page":"391","article-title":"A parallel fusion approach to piano music transcription based on convolutional neural network","author":"liu","year":"0","journal-title":"Proceedings of IEEE International Con-ference on Acoustics Speech and Signal Processing"},{"key":"ref24","article-title":"Music transcription with convolutional sequence-to-sequence models","author":"ullrich","year":"0","journal-title":"Proceedings of the In-ternational Society for Music Information Retrieval Confer-ence"},{"key":"ref23","first-page":"506","article-title":"Improving mu-sic transcription by pre-stacking a u-net","author":"pedersoli","year":"0","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2533858"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178333"}],"event":{"name":"2021 24th International Conference on Digital Audio Effects (DAFx)","start":{"date-parts":[[2021,9,8]]},"location":"Vienna, Austria","end":{"date-parts":[[2021,9,10]]}},"container-title":["2021 24th International Conference on Digital Audio Effects (DAFx)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9768159\/9768211\/09768276.pdf?arnumber=9768276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T20:11:50Z","timestamp":1656965510000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9768276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,8]]},"references-count":34,"URL":"https:\/\/doi.org\/10.23919\/dafx51585.2021.9768276","relation":{},"subject":[],"published":{"date-parts":[[2021,9,8]]}}}