<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Sawada Shun]]></title><description><![CDATA[澤田 隼 (Shun SAWADA)]]></description><link>https://shunsawada.wixsite.com/index/blog</link><generator>RSS for Node</generator><lastBuildDate>Mon, 25 May 2026 10:44:32 GMT</lastBuildDate><atom:link href="https://shunsawada.wixsite.com/index/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[KSE 2025: Two co-authored papers were presented]]></title><description><![CDATA[In November 2025, two co-authored papers were presented at the International Conference on Knowledge and Systems Engineering (KSE 2025), held in Da Lat, Vietnam. Kohei Tsuchida, Shun Sawada, Kouichi Katsurada and Hidefumi Ohmura, “Analysis of Section-Wise Syllable Usage and Its Relationship to Instrumentation in J-POP A Cappella Arrangements,” In Proceedings of International Conference on Knowledge and Systems Engineering (KSE), November 2025. Daichi Hoshikoshi, Shun Sawada, Kouichi...]]></description><link>https://shunsawada.wixsite.com/index/en/post/two-co-authored-papers-were-presented-at-kse-2025</link><guid isPermaLink="false">69ff9752b586a1de5afbb40a</guid><pubDate>Sat, 29 Nov 2025 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_0899192f48c946f0bc4db487f10b0efb~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[KSE 2025にて共著論文2件の研究が発表されました]]></title><description><![CDATA[2025年11月にベトナムのダラットで開催された International Conference on Knowledge and Systems Engineering（KSE 2025）にて、共著論文2件が発表されました。 Kohei Tsuchida, Shun Sawada, Kouichi Katsurada and Hidefumi Ohmura, “Analysis of Section-Wise Syllable Usage and Its Relationship to Instrumentation in J-POP A Cappella Arrangements,” In Proceedings of International Conference on Knowledge and Systems Engineering (KSE), November 2025. Daichi Hoshikoshi, Shun Sawada, Kouichi Katsurada, Satoshi Tojo and Hidefumi Ohmura,...]]></description><link>https://shunsawada.wixsite.com/index/post/kse-2025%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%872%E4%BB%B6%E3%81%AE%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%81%8C%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd965eecab9011374fff8c</guid><pubDate>Sat, 29 Nov 2025 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_0899192f48c946f0bc4db487f10b0efb~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[EUSIPCO 2025にて研究発表を行いました]]></title><description><![CDATA[2025年9月にイタリアのシチリア島で開催された European Signal Processing Conference (EUSIPCO 2025) において、澤田隼が以下の研究発表を行いました。 Shun Sawada, “Contrastive Audio-MIDI Learning for Symbolic-domain Musical Instrument Classification,” In Proceedings of EUSIPCO 2025, pp.426–430, September 2025. この研究では、MIDIなどの記号音楽データから演奏楽器を推定する問題に取り組んでいます。MIDIデータは音高やリズムなどの演奏情報を含みますが、音響信号のような音色情報は直接含んでいません。そこで、音響信号とMIDIデータを対応付けて学習することで、音響情報に由来する楽器性の手がかりを記号音楽モデルへ取り込むことを目指しました。 記号音楽データにおける「楽器らしさ」がどのような構造的特徴から生じるのかを考えることは、楽器分類だけでなく、音楽生成・編曲支援・音楽理...]]></description><link>https://shunsawada.wixsite.com/index/post/eusipco-2025%E3%81%AB%E3%81%A6%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%82%92%E8%A1%8C%E3%81%84%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fc091b4f7ebdc9f6a49b01</guid><pubDate>Wed, 01 Oct 2025 03:39:35 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_ce7d29126b8243d089f215b93224de11~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[EUSIPCO 2025: A new research presentation was given ]]></title><description><![CDATA[In September 2025, Shun Sawada presented the following research at the European Signal Processing Conference (EUSIPCO 2025), held in Sicily, Italy. Shun Sawada, “Contrastive Audio-MIDI Learning for Symbolic-domain Musical Instrument Classification,” In Proceedings of EUSIPCO 2025, pp.426–430, September 2025. This study addresses the task of estimating musical instruments from symbolic music data such as MIDI. MIDI data contains performance information such as pitch and rhythm, but it does not...]]></description><link>https://shunsawada.wixsite.com/index/en/post/eusipco-2025%E3%81%AB%E3%81%A6%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%82%92%E8%A1%8C%E3%81%84%E3%81%BE%E3%81%97%E3%81%9F-1</link><guid isPermaLink="false">69ff940082e9011766496fd2</guid><pubDate>Tue, 30 Sep 2025 20:08:38 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_ce7d29126b8243d089f215b93224de11~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[SMC 2025: A co-authored paper was presented]]></title><description><![CDATA[In July 2025, a co-authored paper on subgenre classification of Electronic Dance Music (EDM) was presented at the Sound and Music Computing Conference (SMC 2025), held in Graz, Austria. Rintaro Uryu, Shun Sawada, Kouichi Katsurada, and Hidefumi Ohmura, “Electronic Dance Music Subgenre Classification Using Multi-Teacher Knowledge Distillation with Heterogeneous Features,” In Proceedings of Sound and Music Computing Conference (SMC), pp.34–40, July 2025.]]></description><link>https://shunsawada.wixsite.com/index/en/post/smc-2025%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%87%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69ff954d27b5ff406ab9db76</guid><pubDate>Thu, 31 Jul 2025 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_5b7aadb02db04934b9fabdda6ca01757~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[SMC 2025にて共著論文の研究が発表されました]]></title><description><![CDATA[2025年7月にオーストリアのグラーツで開催された Sound and Music Computing Conference（SMC 2025）にて、Electronic Dance Music（EDM）のサブジャンル分類に関する共著論文が発表されました。 Rintaro Uryu, Shun Sawada, Kouichi Katsurada, and Hidefumi Ohmura, “Electronic Dance Music Subgenre Classification Using Multi-Teacher Knowledge Distillation with Heterogeneous Features,” In Proceedings of Sound and Music Computing Conference (SMC), pp.34–40, July 2025.]]></description><link>https://shunsawada.wixsite.com/index/post/smc-2025%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%87%E3%81%AE%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%81%8C%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd97245bf92805eb5ec409</guid><pubDate>Wed, 30 Jul 2025 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_5b7aadb02db04934b9fabdda6ca01757~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[ICASSP 2025にて共著論文の研究が発表されました]]></title><description><![CDATA[2025年4月にインドのハイデラバードで開催された The International Conference on Acoustics, Speech, and Signal Processing（ICASSP 2025）にて、real-time MRI（rtMRI）調音データからの音声合成に関する共著論文が発表されました。 Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Investigating F0 Estimation in Speech Synthesis from Real-time MRI Articulatory Data,” In Proceedings of the 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2025.]]></description><link>https://shunsawada.wixsite.com/index/post/icassp-2025%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%87%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd97be5bf92805eb5ec5e6</guid><pubDate>Thu, 15 May 2025 07:59:06 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[ICASSP 2025: A co-authored paper was presented]]></title><description><![CDATA[In April 2025, a co-authored paper on speech synthesis from real-time MRI (rtMRI) articulatory data was presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), held in Hyderabad, India. Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Investigating F0 Estimation in Speech Synthesis from Real-time MRI Articulatory Data,” In Proceedings of the 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2025.]]></description><link>https://shunsawada.wixsite.com/index/en/post/a-co-authored-paper-was-presented-at-icassp-2025</link><guid isPermaLink="false">69ff972182e90117664972fa</guid><pubDate>Wed, 30 Apr 2025 15:00:00 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[音メディア知能 研究室が発足しました]]></title><description><![CDATA[2025年度より、日本工業大学 情報メディア工学科にて音メディア知能研究室がスタートしました。 [研究室サイトで読む]]]></description><link>https://shunsawada.wixsite.com/index/post/%E9%9F%B3%E3%83%A1%E3%83%87%E3%82%A3%E3%82%A2%E7%9F%A5%E8%83%BD-%E7%A0%94%E7%A9%B6%E5%AE%A4%E3%81%8C%E7%99%BA%E8%B6%B3%E3%81%97%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fc08d0f4b0389e41d3839a</guid><pubDate>Tue, 01 Apr 2025 03:37:20 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[The Music &#38; Audio Intelligence Laboratory has been launched]]></title><description><![CDATA[In the 2025 academic year, the Music &#38; Audio Intelligence Lab. was launched in the Department of Information Media Engineering at Nippon Institute of Technology. [Read more on the laboratory website]]]></description><link>https://shunsawada.wixsite.com/index/en/post/%E9%9F%B3%E3%83%A1%E3%83%87%E3%82%A3%E3%82%A2%E7%9F%A5%E8%83%BD-%E7%A0%94%E7%A9%B6%E5%AE%A4%E3%81%8C%E7%99%BA%E8%B6%B3%E3%81%97%E3%81%BE%E3%81%97%E3%81%9F-1</link><guid isPermaLink="false">69ff9586cf49122efb47851d</guid><pubDate>Mon, 31 Mar 2025 15:00:00 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[AIMC 2024にて共著論文の研究が発表されました]]></title><description><![CDATA[2024年9月にイギリスのオックスフォードで開催された International Conference on AI and Musical Creativity（AIMC 2024）にて、旋律和声付けに関する共著論文が発表されました。 Honoka Hida, Shun Sawada, Kouichi Katsurada, Takuro Shibayama, Hidefumi Ohmura, “Flexible Melody Harmonization with Rhythmic Complexity based on Cognitive Music Theory,” In Proceedings of the International Conference on AI and Musical Creativity (AIMC), September 2024.]]></description><link>https://shunsawada.wixsite.com/index/post/aimc-2024%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%87%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd98cc57c1b4d98765eb58</guid><pubDate>Tue, 01 Oct 2024 08:03:48 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_ed7810db595544fcb79d880898dd6005~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[AIMC 2024: A co-authored paper was presented]]></title><description><![CDATA[In September 2024, a co-authored paper on melody harmonization was presented at the International Conference on AI and Musical Creativity (AIMC 2024), held in Oxford, United Kingdom. Honoka Hida, Shun Sawada, Kouichi Katsurada, Takuro Shibayama, Hidefumi Ohmura, “Flexible Melody Harmonization with Rhythmic Complexity based on Cognitive Music Theory,” In Proceedings of the International Conference on AI and Musical Creativity (AIMC), September 2024.]]></description><link>https://shunsawada.wixsite.com/index/en/post/a-co-authored-paper-was-presented-at-aimc-2024</link><guid isPermaLink="false">69ff96eaf345f8799def7172</guid><pubDate>Mon, 30 Sep 2024 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_ed7810db595544fcb79d880898dd6005~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[EUSIPCO 2024にて研究発表を行いました]]></title><description><![CDATA[2024年8月にフランスのリヨンで開催された European Signal Processing Conference (EUSIPCO 2024) において、澤田隼が以下の研究発表を行いました。 Shun Sawada, “Symbolic-domain Musical Instrument Classification using Knowledge Distillation from Audio-teacher to Symbolic-student,” In Proceedings of EUSIPCO 2024, pp.191–195, August 2024. 本研究では、MIDIなどの記号音楽データを対象とした楽器分類に取り組みました。記号音楽データは音高やリズム、和音構造などの情報を含む一方で、音響信号が持つ音色情報は直接含んでいません。そこで、音響信号を入力とする教師モデルから、記号音楽データを入力とする生徒モデルへ知識を転移する Knowledge Distillation の枠組みを用い、音響情報に基づく楽器性の手がかりを記号音楽モデルへ取り込む方法を検討...]]></description><link>https://shunsawada.wixsite.com/index/post/eusipco-2024%E3%81%AB%E3%81%A6%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%82%92%E8%A1%8C%E3%81%84%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fc0af64f7ebdc9f6a4a0a7</guid><pubDate>Fri, 20 Sep 2024 03:52:49 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_d84c0d0ca94941f1887a13e9e80dca56~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[EUSIPCO 2024: A new research presentation was given]]></title><description><![CDATA[In August 2024, Shun Sawada presented the following research at the European Signal Processing Conference (EUSIPCO 2024), held in Lyon, France. Shun Sawada, “Symbolic-domain Musical Instrument Classification using Knowledge Distillation from Audio-teacher to Symbolic-student,” In Proceedings of EUSIPCO 2024, pp.191–195, August 2024. This study addressed musical instrument classification using symbolic music data such as MIDI. Symbolic music data contains information such as pitch, rhythm, and...]]></description><link>https://shunsawada.wixsite.com/index/en/post/eusipco-2024%E3%81%AB%E3%81%A6%E7%A0%94%E7%A9%B6%E7%99%BA%E8%A1%A8%E3%82%92%E8%A1%8C%E3%81%84%E3%81%BE%E3%81%97%E3%81%9F-1</link><guid isPermaLink="false">69ff9497cf49122efb478423</guid><pubDate>Wed, 11 Sep 2024 20:10:21 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_d84c0d0ca94941f1887a13e9e80dca56~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[WASPAA 2023: Two co-authored papers were presented]]></title><description><![CDATA[In October 2023, two co-authored studies on music information retrieval were presented at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), held in New Paltz, New York. Kenta Ogawa, Shun Sawada, Kouichi Katsurada, Hidefumi Ohmura, “Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method,” In Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.386–390,...]]></description><link>https://shunsawada.wixsite.com/index/en/post/waspaa-2023%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%872%E4%BB%B6%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F-1</link><guid isPermaLink="false">69ff94dc82e90117664970c4</guid><pubDate>Tue, 31 Oct 2023 20:11:41 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_aec1c090b67649079e89801fca196d2d~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[WASPAA 2023にて共著論文2件の研究が発表されました]]></title><description><![CDATA[2023年10月にニューヨークのニューパルツで開催された IEEE Workshop on Applications of Signal Processing to Audio and Acoustics（WASPAA 2023）にて、音楽情報処理に関する共著研究2件が発表されました。 Kenta Ogawa, Shun Sawada, Kouichi Katsurada, Hidefumi Ohmura, “Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method,” In Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.386–390, October 2023. Hiroki Ito, Shun Sawada, Hidefumi Ohmura, Kouichi...]]></description><link>https://shunsawada.wixsite.com/index/post/waspaa-2023%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%872%E4%BB%B6%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd9935ecab901137500824</guid><pubDate>Mon, 30 Oct 2023 15:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/93aed3_aec1c090b67649079e89801fca196d2d~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[Interspeech 2023: A co-authored paper was presented]]></title><description><![CDATA[In August 2023, a co-authored paper on speech synthesis from articulatory movements recorded using real-time MRI (rtMRI) was presented at Interspeech 2023, held in Dublin, Ireland. Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Speech Synthesis from Articulatory Movements Recorded by Real-time MRI,” In Proceedings of Interspeech, pp.127–131, August 2023.]]></description><link>https://shunsawada.wixsite.com/index/en/post/a-co-authored-paper-was-presented-at-interspeech-2023</link><guid isPermaLink="false">69ff96243302eede1381a932</guid><pubDate>Thu, 07 Sep 2023 15:00:00 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item><item><title><![CDATA[Interspeech 2023にて共著論文の研究が発表されました]]></title><description><![CDATA[2023年8月にアイルランドのダブリンで開催された Interspeech 2023 にて、real-time MRI（rtMRI）で記録された調音運動からの音声合成に関する共著論文が発表されました。 Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Speech Synthesis from Articulatory Movements Recorded by Real-time MRI,” In Proceedings of Interspeech, pp.127–131, August 2023.]]></description><link>https://shunsawada.wixsite.com/index/post/interspeech-2023%E3%81%AB%E3%81%A6%E5%85%B1%E8%91%97%E8%AB%96%E6%96%87%E3%81%AE%E7%A0%94%E7%A9%B6%E3%81%8C%E7%99%BA%E8%A1%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%97%E3%81%9F</link><guid isPermaLink="false">69fd999c81ad869918236d7b</guid><pubDate>Thu, 07 Sep 2023 08:07:42 GMT</pubDate><dc:creator>Shun Sawada</dc:creator></item></channel></rss>