{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T11:09:15Z","timestamp":1749640155786,"version":"3.33.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"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":[[2024,12,3]]},"DOI":"10.1109\/apsipaasc63619.2025.10849166","type":"proceedings-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T18:37:05Z","timestamp":1738003025000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Inference Efficient Source Separation Using Input-dependent Convolutions"],"prefix":"10.1109","author":[{"given":"Shogo","family":"Seki","sequence":"first","affiliation":[{"name":"CyberAgent, Inc.,Japan"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"CyberAgent, Inc.,Japan"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TASLP.2019.2915167"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/ICASSP40776.2020.9054266"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TASLP.2023.3271145"},{"key":"ref4","article-title":"Attention is All You Need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"International Conference on Learning Representations","author":"Gu","article-title":"Efficiently Modeling Long Sequences with Structured State Spaces","key":"ref5"},{"year":"2023","author":"Gu","article-title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","key":"ref6"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TASLP.2023.3304482"},{"year":"2024","author":"Li","article-title":"SPMamba: State-space model is all you need in speech separation","key":"ref8"},{"year":"2024","author":"Jiang","article-title":"Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation","key":"ref9"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/MLSP49062.2020.9231900"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1007\/s11265-021-01683-x"},{"key":"ref12","article-title":"Cond-Conv: Conditionally Parameterized Convolutions for Efficient Inference","author":"Yang","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR42600.2020.01104"},{"year":"2023","author":"Kosma","article-title":"Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series","key":"ref14"},{"key":"ref15","first-page":"807","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","volume-title":"International Conference on Machine Learning","author":"Nair"},{"year":"2018","author":"Bai","article-title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","key":"ref16"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ICCV.2015.123"},{"year":"2016","author":"Ba","article-title":"Layer Normalization","key":"ref18"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPR.2017.634"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CVPR.2018.00716"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICASSP.2016.7471631"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.48550\/arXiv.1406.3269"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/ICASSP.2019.8683855"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/TASLP.2017.2726762"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/TASLP.2023.3282097"}],"event":{"name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2024,12,3]]},"location":"Macau, Macao","end":{"date-parts":[[2024,12,6]]}},"container-title":["2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10848542\/10848533\/10849166.pdf?arnumber=10849166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T06:25:07Z","timestamp":1738045507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10849166\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/apsipaasc63619.2025.10849166","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]}}}