{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:01:41Z","timestamp":1760101301333},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"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":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9413638","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"561-565","source":"Crossref","is-referenced-by-count":7,"title":["Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features Via Acoustic Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Shreyan","family":"Chowdhury","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerhard","family":"Widmer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","first-page":"1180","article-title":"Unsupervised Domain Adaptation by Backpropagation","author":"ganin","year":"2015","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref12","article-title":"Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset","author":"hawthorne","year":"2019","journal-title":"International Conference on Learning Representations"},{"article-title":"Mode Regularized Generative Adversarial Networks","year":"2016","author":"che","key":"ref13"},{"article-title":"Distilling the Knowledge in a Neural Network","year":"2015","author":"hinton","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953145"},{"article-title":"Unsupervised Domain Adaptation through Self-Supervision","year":"2019","author":"sun","key":"ref16"},{"key":"ref4","article-title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","author":"chowdhury","year":"2019","journal-title":"Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref3","first-page":"615","article-title":"A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling","author":"aljanaki","year":"2018","journal-title":"Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0305735610362821"},{"key":"ref5","article-title":"Two-level Explanations in Music Emotion Recognition","author":"haunschmid","year":"2019","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8902732"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref2","article-title":"On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game","author":"cancino-chac\u00f3n","year":"2020","journal-title":"Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fdigh.2018.00025"},{"key":"ref9","article-title":"Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs","author":"koutini","year":"2019","journal-title":"Multimedia Evaluation Benchmark (MediaEval) 2019 Workshop"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09413638.pdf?arnumber=9413638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:46Z","timestamp":1652197246000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9413638","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}