{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T09:25:59Z","timestamp":1749201959660,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/hsi.2018.8431033","type":"proceedings-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T18:11:17Z","timestamp":1534183877000},"page":"132-138","source":"Crossref","is-referenced-by-count":7,"title":["Generating Musical Expression of MIDI Music with LSTM Neural Network"],"prefix":"10.1109","author":[{"given":"Maria Klara","family":"Jedrzejewska","sequence":"first","affiliation":[]},{"given":"Adrian","family":"Zjawinski","sequence":"additional","affiliation":[]},{"given":"Bartlomiej","family":"Stasiak","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1592451.1592454"},{"key":"ref11","article-title":"Can style be learned? A Machine Learning approach towards performing as famous pianists","author":"dorard","year":"2007","journal-title":"Proc Music Brain & Cognition Workshop (NIPS'07)"},{"journal-title":"Real-time Performance RNN in the Browser","year":"0","key":"ref12"},{"key":"ref13","volume":"1","author":"laitz","year":"2008","journal-title":"The complete musician An integrated approach to tonal theory analysis and listening"},{"journal-title":"Music Notation and Terminology","year":"0","author":"gehrkens","key":"ref14"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref15"},{"journal-title":"Artificial neural networks and their application to sequence recognition","year":"1991","author":"bengio","key":"ref16"},{"journal-title":"Modeling Temporal Dependencies in High-Dimensional Sequences Application to Polyphonic Music Generation and Transcription","year":"2012","author":"boulanger-lewandowski","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"MIDI Transform window presets Humanize","year":"0","key":"ref4"},{"journal-title":"Performance rnn Generating music with expressive timing and dynamics","year":"0","key":"ref3"},{"key":"ref6","first-page":"109","article-title":"Follow that tune - dynamic time warping refinement for query by humming","author":"stasiak","year":"2012","journal-title":"2012 Joint Conference New Trends In Audio Video And Signal Processing Algorithms Architectures Arrangements And Applications (NTAV\/SPA)"},{"journal-title":"Human playback","year":"0","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/09298219808570748"},{"key":"ref7","article-title":"The performance worm: Real time visualisation of expression based on Langner's tempo-loudness animation","author":"dixon","year":"2002","journal-title":"ICMC"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2307\/431736"},{"journal-title":"MagentA","year":"0","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1279740.1279759"},{"journal-title":"Performance simulations","year":"0","key":"ref20"},{"journal-title":"Tempo Excel spreadsheets","year":"0","key":"ref22"},{"journal-title":"Dynamics Excel spreadsheets","year":"0","key":"ref21"},{"journal-title":"A theoretically grounded application of dropout in recurrent neural networks","year":"2015","author":"gal","key":"ref24"},{"journal-title":"Keras","year":"0","author":"chollet","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2307\/40286178"},{"journal-title":"An overview of gradient descent optimization algorithms","year":"0","author":"ruder","key":"ref25"}],"event":{"name":"2018 11th International Conference on Human System Interaction (HSI)","start":{"date-parts":[[2018,7,4]]},"location":"Gdansk","end":{"date-parts":[[2018,7,6]]}},"container-title":["2018 11th International Conference on Human System Interaction (HSI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8417135\/8430754\/08431033.pdf?arnumber=8431033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,28]],"date-time":"2018-08-28T00:54:26Z","timestamp":1535417666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8431033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/hsi.2018.8431033","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}