{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:41:55Z","timestamp":1772300515514,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"SERB-DST","award":["SERB\/EE\/2021410"],"award-info":[{"award-number":["SERB\/EE\/2021410"]}]},{"name":"SERB-MATRICS","award":["SERB\/EE\/2021477"],"award-info":[{"award-number":["SERB\/EE\/2021477"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tai.2024.3352530","type":"journal-article","created":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T13:29:31Z","timestamp":1704979771000},"page":"3845-3857","source":"Crossref","is-referenced-by-count":6,"title":["Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6110-8086","authenticated-orcid":false,"given":"Priyadarshini","family":"Dwivedi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7310-9539","authenticated-orcid":false,"given":"Gyanajyoti","family":"Routray","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6142-7724","authenticated-orcid":false,"given":"Rajesh M.","family":"Hegde","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178484"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2775237"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2019.8937159"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76608-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462024"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1016\/j.apacoust.2021.108068","article-title":"Convolutional neural network trained with synthetic pseudo-images for detecting an acoustic source","volume":"179","author":"Kwak","year":"2021","journal-title":"Appl. Acoust."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2002.5745011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2002.5744968"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1976.1162830"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518172"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3140550"},{"key":"ref12","first-page":"1","article-title":"Microphone utility-based weighting for robust acoustic source localization in wireless acoustic sensor networks","volume-title":"Proc. 14th ITG Conf. Speech Commun.","author":"Guenther","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/I3DA48870.2021.9610902"},{"key":"ref14","first-page":"146","article-title":"Comparison of subspace-based and steered beamformer-based reflection localization methods","volume-title":"Proc. 19th Eur. Signal Process. Conf.","author":"Mabande","year":"2011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3118966"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2858932"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3005097"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.1986.1143830"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MAPE.2007.4393677"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2613280"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1985.1164667"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2337846"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953332"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA52581.2021.9632789"},{"issue":"9","key":"ref25","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.apacoust.2011.02.010","article-title":"Spherical harmonics MUSIC versus conventional MUSIC","volume":"72","author":"Li","year":"2011","journal-title":"Appl. Acoust."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2885930"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472237"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3043107"},{"key":"ref29","article-title":"Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge","author":"Lebarbenchon","year":"2018"},{"key":"ref30","article-title":"Multiple source direction of arrival estimation using subspace pseudointensity vectors","author":"Moore","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2543201"},{"key":"ref32","article-title":"TRAMP: Tracking by a real-time ambisonic-based particle filter","author":"Kitic","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553182"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2019.8937277"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231809"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2939782"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.2984852"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SPCOM55316.2022.9840853"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/NCC56989.2023.10067916"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SPCOM55316.2022.9840848"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF56349.2022.10051862"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1121\/10.0015243"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.61782\/fa.2023.1180"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053656"},{"key":"ref45","first-page":"183","article-title":"Far-field source localization in spherical harmonics domain using acoustic intensity vector","volume-title":"Proc. 24th Int. Congr. Acoust.","author":"Dwivedi","year":"2023"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patrec.2022.11.022","article-title":"Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors","volume":"165","author":"Dwivedi","year":"2023","journal-title":"Pattern Recognit. Lett."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/SAM.2018.8448644"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.2990485"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45664-4"},{"key":"ref50","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"ref51","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198538493.001.0001"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1121\/1.4740497"},{"key":"ref54","article-title":"The microphone array"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2006.881671"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"ref57","first-page":"120","article-title":"Confusion matrix-based feature selection,\u201d","volume-title":"Proc. 22nd Midwest Artif. Intell. Cogn. Sci. Conf.","volume":"710","author":"Visa","year":"2011"},{"key":"ref58","article-title":"On the computational efficiency of training neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Livni","year":"2014"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10635096\/10391071.pdf?arnumber=10391071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:09:12Z","timestamp":1755911352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10391071\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":58,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3352530","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}