{"id":2035,"date":"2024-08-02T13:58:05","date_gmt":"2024-08-02T04:58:05","guid":{"rendered":"https:\/\/acl.im.dendai.ac.jp\/?page_id=2035"},"modified":"2025-04-18T17:08:17","modified_gmt":"2025-04-18T08:08:17","slug":"publications-2024-2025","status":"publish","type":"page","link":"https:\/\/acl.im.dendai.ac.jp\/index.php\/publications-2024-2025\/","title":{"rendered":"Publications 2024 &#8211; 2025"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Period: Apr. 2024 &#8211; Mar. 2025<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u53d7\u8cde<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u897f\u539f \u3061\u3072\u308d\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a \u30b8\u30e5\u30cb\u30a2&amp;\u5b66\u751f\u30dd\u30b9\u30bf\u30fc\u30bb\u30c3\u30b7\u30e7\u30f3 \u7279\u5225\u8cde(\u5354\u5275)<\/li>\n\n\n\n<li>\u68ee\u672c \u6674\u9999\uff0c\u6771\u4eac\u96fb\u6a5f\u5927\u5b66\u5b66\u9577\u8cde<\/li>\n\n\n\n<li>Ryosuke Onizawa, Gen Sato, Izumi Tsunokuni and Yusuke Ikeda, IWAIT2025 Best Paper Award<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b66\u8853\u8ad6\u6587<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/doi.org\/10.1587\/transfun.2024EAL2015\">Izumi TSUNOKUNI, Gen SATO, Yusuke IKEDA and Yasuhiro OIKAWA,&#8221;Spatial extrapolation of early room impulse responses with noise-robust physics-informed neural network,&#8221; &nbsp;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2024)<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u56fd\u969b\u4f1a\u8b70<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/doi.org\/10.1109\/GCCE62371.2024.10760401\">Ryosuke Onizawa, Gen Sato and Yusuke Ikeda, &#8220;Data-Driven Estimation of Scattered Sound Field With a Small Number of Microphones,&#8221; 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), (2024.10)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1109\/APSIPAASC63619.2025.10848969\">Gen Sato and Yusuke Ikeda, &#8220;Data-Driven Physics-Informed Neural Network for Sound Field Estimation in Rooms of Arbitrary Size,&#8221; 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2024.12)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1109\/APSIPAASC63619.2025.10848793\">Ryosuke Onizawa, Gen Sato, Izumi Tsunokuni and Yusuke Ikeda, &#8220;Physics-Informed Neural Networks for Estimation of Scattered Sound Fields with Boundary Condition,&#8221; 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2024.12)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1109\/APSIPAASC63619.2025.10848942\">Keiko Kawase, Gen Sato, Izumi Tsunokuni and Yusuke Ikeda, &#8220;Data-Driven Sound Field Reproduction for Higher-Order Mode Matching Using a Circular Loudspeaker Array, &#8220;2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2024.12)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1109\/APSIPAASC63619.2025.10848593\">Ken Kurata , Gen Sato , Izumi Tsunokuni and Yusuke Ikeda, &#8220;Noise-Robust Estimation of Early-part Room Impulse Responses based on Physics-Informed Neural Network with Dynamic Pulling Method,&#8221;2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2024.12)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1109\/APSIPAASC63619.2025.10848901\">Koki Horikoshi, Gen Sato, Izumi Tsunokuni and Yusuke Ikeda, &#8220;Pressure Matching Using Data-Driven Estimation for Sound Fields and Transfer Functions,&#8221; 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2024.12)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1117\/12.3058707\">Ryosuke Onizawa, Gen Sato, Izumi Tsunokuni and Yusuke Ikeda, &#8220;Sound field visualization around rigid object based on physics-informed neural networks,&#8221; The International Workshop on Advanced Image Technology (IWAIT) 2025,(2025.1)<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u56fd\u5185\u4f1a\u8b70<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5bae\u53e3\u8061\u826f, \u5c0f\u5742\u76f4\u654f, \u6c60\u7530\u96c4\u4ecb, \u201cCNMF\u6539\u826f\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u97f3\u97ff\u30e2\u30b6\u30a4\u30af\u306b\u3088\u308b4ch\u7a7a\u9593\u30a8\u30d5\u30a7\u30af\u30c8\u304a\u3088\u3073\u30e2\u30fc\u30d5\u30a3\u30f3\u30b0\u3078\u306e\u5fdc\u7528\u201d\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u3000\u7b2c142\u56de\u97f3\u697d\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u767a\u8868\u4f1a(2025.3)<\/li>\n\n\n\n<li>\u9b3c\u6fa4\u8ad2\u4ecb\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u7269\u7406\u6cd5\u5247\u306b\u57fa\u3065\u3044\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u525b\u4f53\u5468\u56f2\u306e\u6563\u4e71\u97f3\u5834\u63a8\u5b9a&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u5927\u6cbc\u7fd4\u77e2\uff0c\u5185\u7530\u5f69\u82bd\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c\u4e95\u4e0a\u6566\u767b\uff0c\u53ca\u5ddd\u9756\u5e83\uff0c&#8221;\u8907\u5408\u73fe\u5b9f\u6280\u8853\u3092\u7528\u3044\u305f\u97f3\u5834\u306e\u53ef\u8996\u5316\u306b\u304a\u3051\u308b\u8868\u793a\u30c7\u30d0\u30a4\u30b9\u306e\u6bd4\u8f03&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u83ca\u6c60\u99ff\u4ec1\uff0c\u677e\u672c\u7dbe\u592a\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u5236\u5fa1\u7bc4\u56f2\u53ef\u5909\u578bPressure Matching\u6cd5\u3092\u7528\u3044\u305f\u97f3\u5834\u518d\u73fe\u306b\u5bfe\u3059\u308b\u97f3\u50cf\u5b9a\u4f4d\u5b9f\u9a13\u306e\u4e88\u5099\u7684\u691c\u8a0e&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u99d2\u5834\u98af\u6597\uff0c\u5009\u7530\u9a13\uff0c\u4f50\u85e4\u5143\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u640d\u5931\u95a2\u6570\u306e\u52d5\u7684\u8abf\u6574\u3092\u5c0e\u5165\u3057\u305f\u7269\u7406\u6cd5\u5247\u3092\u306b\u57fa\u3065\u304f\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u591a\u70b9\u80fd\u52d5\u9a12\u97f3\u5236\u5fa1\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u897f\u539f\u3061\u3072\u308d\uff0c\u4f50\u85e4\u5143\uff0c\u5800\u8d8a\u5149\u6a39\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u97f3\u5834\u518d\u73fe\u3092\u76ee\u7684\u3068\u3057\u305f\u30de\u30a4\u30af\u30ed\u30db\u30f3\u4e00\u4f53\u578b\u30b9\u30d4\u30fc\u30ab\u306b\u5bfe\u3059\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u4f4d\u7f6e\u63a8\u5b9a\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u68ee\u672c\u6674\u9999\uff0c\u5009\u7530\u9a13\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u6e2c\u5b9a\u4f4d\u7f6e\u8aa4\u5dee\u3092\u8003\u616e\u3057\u305f\u7269\u7406\u6cd5\u5247\u3092\u7528\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u5ba4\u5185\u30a4\u30f3\u30d1\u30eb\u30b9\u5fdc\u7b54\u63a8\u5b9a\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a(IEICE) \u7dcf\u5408\u5927\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u5185\u7530\u5f69\u82bd\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c\u53ca\u5ddd\u9756\u5e83\uff0c&#8221;\u975e\u540c\u671f\u9332\u97f3\u4fe1\u53f7\u3092\u7528\u3044\u305f\u5e83\u7bc4\u56f2\u306e\u5b9a\u5e38\u97f3\u5834\u63a8\u5b9a\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c2025\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2025.3)<\/li>\n\n\n\n<li>\u5185\u7530\u5f69\u82bd\uff0c\u6d25\u56fd\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c\u53ca\u5ddd\u9756\u5e83\uff0c&#8221;\u8907\u6570\u97f3\u5834\u30e2\u30c7\u30eb\u306e\u7d50\u5408\u3092\u7528\u3044\u305f\u8907\u5408\u73fe\u5b9f\u6280\u8853\u306b\u3088\u308b\u5e83\u7bc4\u56f2\u97f3\u5834\u306e\u53ef\u8996\u5316&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u4f50\u85e4 \u5143\uff0c\u6c60\u7530 \u96c4\u4ecb\uff0c&#8221;\u7269\u7406\u6cd5\u5247\u306b\u57fa\u3065\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u6b63\u65b9\u5f62\u5ba4\u5185\u97f3\u5834\u306e\u63a8\u5b9a&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u65b0\u4e95\u5927\u6597\uff0c \u4f50\u85e4\u5143\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u7269\u7406\u30e2\u30c7\u30eb\u3068\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u58c1\u9762\u306e\u97f3\u97ff\u30a4\u30f3\u30d4\u30fc\u30c0\u30f3\u30b9\u63a8\u5b9a&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u9b3c\u6fa4\u8ad2\u4ecb\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u7269\u7406\u30e2\u30c7\u30eb\u3068\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5c11\u6570\u30de\u30a4\u30af\u30ed\u30db\u30f3\u306b\u3088\u308b\u6563\u4e71\u97f3\u5834\u306e\u63a8\u5b9a\u201d\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u677e\u672c\u7dbe\u592a\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u5468\u6ce2\u6570\u306b\u5fdc\u3058\u305f\u5236\u5fa1\u7bc4\u56f2\u3092\u7528\u3044\u305fPressure Matching\u6cd5\u306b\u5bfe\u3059\u308b\u5b9f\u6e2c\u306b\u3088\u308b\u518d\u73fe\u7cbe\u5ea6\u306e\u8a55\u4fa1&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u5927\u6cb3\u4f51\u91cc\u5b50\uff0c\u65b0\u4e95\u5927\u6597\uff0c\u4f50\u85e4\u5143\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u77e9\u5f622\u6b21\u5143\u97f3\u5834\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5438\u97f3\u7387\u63a8\u5b9a\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u5ddd\u702c\u656c\u5b50\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308bMode Matching\u6cd5\u306b\u57fa\u3065\u3044\u305f2.5\u6b21\u5143\u97f3\u5834\u518d\u73fe\u306e\u57fa\u790e\u7684\u691c\u8a0e&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u5009\u7530\u9a13\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u6b8b\u5dee\u63a5\u7d9a\u3068\u7269\u7406\u6cd5\u5247\u3092\u7528\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u5ba4\u5185\u30a4\u30f3\u30d1\u30eb\u30b9\u5fdc\u7b54\u63a8\u5b9a&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n\n\n\n<li>\u5800\u8d8a\u5149\u6a39\uff0c\u4f50\u85e4\u5143\uff0c\u6d25\u570b\u548c\u6cc9\uff0c\u6c60\u7530\u96c4\u4ecb\uff0c&#8221;\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u30b9\u30d4\u30fc\u30ab\u306e\u4f1d\u9054\u95a2\u6570\u63a8\u5b9a\u3092\u7528\u3044\u305fPressure Matching\u6cd5&#8221;\uff0c2024\u5e74\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a (2024.9)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Period: Apr. 2024 &#8211; Mar. 2025 \u53d7\u8cde \u5b66\u8853\u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70 \u56fd\u5185\u4f1a\u8b70<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"class_list":["post-2035","page","type-page","status-publish","hentry","latest_post"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/PhmQmo-wP","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/2035","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=2035"}],"version-history":[{"count":21,"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/2035\/revisions"}],"predecessor-version":[{"id":2286,"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/2035\/revisions\/2286"}],"wp:attachment":[{"href":"https:\/\/acl.im.dendai.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=2035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}