{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:19:25Z","timestamp":1757542765574,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61801319"],"award-info":[{"award-number":["61801319"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"DOI":"10.1007\/s10462-024-11061-1","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T04:21:33Z","timestamp":1734668493000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Faster independent vector analysis with joint pairwise updates of demixing vectors"],"prefix":"10.1007","volume":"58","author":[{"given":"Zhongqiang","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiming","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Cong F (2019) Blind source separation, in EEG signal processing and feature extraction, Hu L, Zhang Z (eds) Springer, Singapore, ch. 7, pp. 117\u2013140","key":"11061_CR1","DOI":"10.1007\/978-981-13-9113-2_7"},{"issue":"14","key":"11061_CR2","doi-asserted-by":"publisher","first-page":"3200","DOI":"10.3390\/electronics12143200","volume":"12","author":"R Guo","year":"2023","unstructured":"Guo R et al (2023) Efficient overdetermined independent vector analysis based on iterative projection with adjustment. Electronics 12(14):3200","journal-title":"Electronics"},{"issue":"1","key":"11061_CR3","doi-asserted-by":"publisher","first-page":"493","DOI":"10.3390\/s23010493","volume":"23","author":"R Guo","year":"2023","unstructured":"Guo R, Luo Z, Li M (2023) A survey of optimization methods for independent vector analysis in audio source separation. Sensors 23(1):493","journal-title":"Sensors"},{"issue":"4\u20135","key":"11061_CR4","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","volume":"13","author":"A Hyv\u00e4rinen","year":"2000","unstructured":"Hyv\u00e4rinen A, Oja E (2000) Independent component analysis: algorithms and applications. Neural Netw 13(4\u20135):411\u2013430","journal-title":"Neural Netw"},{"doi-asserted-by":"crossref","unstructured":"Ikeshita R, Nakatani T (2022) \"$$\\text{ISS} _2$$: an extension of iterative source steering algorithm for majorization-minimization-based independent vector analysis. arXiv preprint arXiv:2202.00875","key":"11061_CR5","DOI":"10.23919\/EUSIPCO55093.2022.9909767"},{"doi-asserted-by":"crossref","unstructured":"Kang F, Yang F, Yang J (2021) Real-time independent vector analysis with a deep-learning-based source model. 2021 IEEE spoken language technology workshop (SLT). IEEE","key":"11061_CR6","DOI":"10.1109\/SLT48900.2021.9383599"},{"doi-asserted-by":"crossref","unstructured":"Kim T, Eltoft T, Lee T-W (2006a) Independent vector analysis: an extension of ICA to multivariate components. International conference on independent component analysis and signal separation, Springer, Berlin, Heidelberg","key":"11061_CR7","DOI":"10.1007\/11679363_21"},{"doi-asserted-by":"crossref","unstructured":"Kim T, Lee I, Lee T-W (2006b) Independent vector analysis: definition and algorithms. 2006 Fortieth Asilomar conference on signals, systems and computers. IEEE","key":"11061_CR8","DOI":"10.1109\/ACSSC.2006.354986"},{"issue":"9","key":"11061_CR9","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.1109\/TASLP.2016.2577880","volume":"24","author":"D Kitamura","year":"2016","unstructured":"Kitamura D, Ono N, Sawada H, Kameoka H, Saruwatari H (2016) Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization. IEEE\/ACM Trans Audio Speech Lang Process 24(9):1626\u20131641","journal-title":"IEEE\/ACM Trans Audio Speech Lang Process"},{"unstructured":"Kominek J, Black AW, Ver V (2003) CMU ARCTIC databases for speech synthesis","key":"11061_CR10"},{"doi-asserted-by":"crossref","unstructured":"Lange K (2016) MM optimization algorithms. Society for industrial and applied mathematics","key":"11061_CR11","DOI":"10.1137\/1.9781611974409"},{"issue":"8","key":"11061_CR12","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1016\/j.sigpro.2007.01.010","volume":"87","author":"I Lee","year":"2007","unstructured":"Lee I, Kim T, Lee T-W (2007) Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process 87(8):1859\u20131871","journal-title":"Signal Process"},{"unstructured":"Lee I, Hao J, Lee T-W (2008) Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm. 2008 IEEE International conference on acoustics, speech and signal processing. IEEE","key":"11061_CR13"},{"unstructured":"Li X-L (2020) Independent vector analysis with deep neural network source priors. arXiv preprint arXiv:2008.11273","key":"11061_CR14"},{"key":"11061_CR15","doi-asserted-by":"publisher","first-page":"109376","DOI":"10.1016\/j.patcog.2023.109376","volume":"138","author":"Z Luo","year":"2023","unstructured":"Luo Z (2023) Independent vector analysis: model, applications, challenges. Pattern Recogn 138:109376","journal-title":"Pattern Recogn"},{"issue":"7","key":"11061_CR16","doi-asserted-by":"publisher","first-page":"79","DOI":"10.23919\/JCC.2022.07.007","volume":"19","author":"Z Luo","year":"2022","unstructured":"Luo Z, Li M, Li C (2022a) Independent vector analysis based blind interference reduction and signal recovery for MIMO IoT green communications. China Commun 19(7):79\u201388. https:\/\/doi.org\/10.23919\/JCC.2022.07.007","journal-title":"China Commun"},{"issue":"9","key":"11061_CR17","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.3390\/electronics11091460","volume":"11","author":"Z Luo","year":"2022","unstructured":"Luo Z, Guo R, Li C (2022b) Independent vector analysis for blind deconvolving of digital modulated communication signals. Electronics 11(9):1460","journal-title":"Electronics"},{"doi-asserted-by":"crossref","unstructured":"Nakashima T et al (2021) Faster independent low-rank matrix analysis with pairwise updates of demixing vectors. 2020 28th European signal processing conference (EUSIPCO). IEEE","key":"11061_CR18","DOI":"10.23919\/Eusipco47968.2020.9287508"},{"issue":"3","key":"11061_CR19","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/TASL.2010.2053027","volume":"19","author":"F Nesta","year":"2010","unstructured":"Nesta F, Svaizer P, Omologo M (2010) Convolutive BSS of short mixtures by ICA recursively regularized across frequencies. IEEE Trans Audio Speech Lang Process 19(3):624\u2013639","journal-title":"IEEE Trans Audio Speech Lang Process"},{"doi-asserted-by":"crossref","unstructured":"Ono N (2011) Stable and fast update rules for independent vector analysis based on auxiliary function technique, in Proc WASPAA, pp 189\u2013192","key":"11061_CR20","DOI":"10.1109\/ASPAA.2011.6082320"},{"key":"11061_CR21","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.3066489","author":"R Scheibler","year":"2019","unstructured":"Scheibler R (2019) CMU ARCTIC Concatenated 15s. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.3066489","journal-title":"Zenodo"},{"key":"11061_CR22","doi-asserted-by":"publisher","first-page":"2509","DOI":"10.1109\/TSP.2021.3072228","volume":"69","author":"R Scheibler","year":"2021","unstructured":"Scheibler R (2021) Independent vector analysis via log-quadratically penalized quadratic minimization. IEEE Trans Signal Process 69:2509\u20132524","journal-title":"IEEE Trans Signal Process"},{"doi-asserted-by":"crossref","unstructured":"Scheibler R, Ono N (2019) Independent vector analysis with more microphones than sources, in Proc New Paltz, NY, USA, Oct, IEEE WASPAA, pp 185\u2013189","key":"11061_CR23","DOI":"10.1109\/WASPAA.2019.8937080"},{"doi-asserted-by":"crossref","unstructured":"Scheibler R, Ono N (2020) Fast and stable blind source separation with rank-1 updates. ICASSP 2020\u20132020 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE","key":"11061_CR24","DOI":"10.1109\/ICASSP40776.2020.9053556"},{"doi-asserted-by":"crossref","unstructured":"Scheibler R, Bezzam E, Dokmani I (2018) Pyroomacoustics: a Python package for audio room simulation and array processing algorithms, in Proc ICASSP, pp 351\u2013355","key":"11061_CR25","DOI":"10.1109\/ICASSP.2018.8461310"},{"issue":"2","key":"11061_CR26","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/S1364-6613(00)01813-1","volume":"6","author":"JV Stone","year":"2002","unstructured":"Stone JV (2002) Independent component analysis: an introduction. Trends Cogn Sci 6(2):59\u201364","journal-title":"Trends Cogn Sci"},{"key":"11061_CR27","doi-asserted-by":"publisher","first-page":"63456","DOI":"10.1109\/ACCESS.2021.3074966","volume":"9","author":"Z Uddin","year":"2021","unstructured":"Uddin Z et al (2021) Independent vector analysis inspired amateur drone detection through acoustic signals. IEEE Access 9:63456\u201363462","journal-title":"IEEE Access"},{"issue":"1","key":"11061_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10107-015-0892-3","volume":"151","author":"SJ Wright","year":"2015","unstructured":"Wright SJ (2015) Coordinate descent algorithms. Math Program 151(1):3\u201334","journal-title":"Math Program"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-11061-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-024-11061-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-11061-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T03:49:21Z","timestamp":1738208961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-024-11061-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"references-count":28,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["11061"],"URL":"https:\/\/doi.org\/10.1007\/s10462-024-11061-1","relation":{},"ISSN":["1573-7462"],"issn-type":[{"type":"electronic","value":"1573-7462"}],"subject":[],"published":{"date-parts":[[2024,12,20]]},"assertion":[{"value":"30 November 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"57"}}