ºÝºÝߣshows by User: affige / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: affige / Wed, 27 Oct 2021 09:20:27 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: affige 20211026 taicca 3 music analysis sota /slideshow/20211026-taicca-3-music-analysis-sota/250538783 20211026taicca-3musicanalysissota-211027092029
slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 3: state-of-the-art tools for music analysis]]>

slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 3: state-of-the-art tools for music analysis]]>
Wed, 27 Oct 2021 09:20:27 GMT /slideshow/20211026-taicca-3-music-analysis-sota/250538783 affige@slideshare.net(affige) 20211026 taicca 3 music analysis sota affige slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 3: state-of-the-art tools for music analysis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-3musicanalysissota-211027092029-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 3: state-of-the-art tools for music analysis
20211026 taicca 3 music analysis sota from Yi-Hsuan Yang
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20211026 taicca 2 music generation /slideshow/20211026-taicca-2-music-generation/250538716 20211026taicca-2musicgeneration-211027091512
slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 2: automatic music generation]]>

slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 2: automatic music generation]]>
Wed, 27 Oct 2021 09:15:11 GMT /slideshow/20211026-taicca-2-music-generation/250538716 affige@slideshare.net(affige) 20211026 taicca 2 music generation affige slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 2: automatic music generation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-2musicgeneration-211027091512-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 2: automatic music generation
20211026 taicca 2 music generation from Yi-Hsuan Yang
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20211026 taicca 1 intro to mir /slideshow/20211026-taicca-1-intro-to-mir/250538713 20211026taicca-1introtomir-211027091454
slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 1: a brief introduction to music information retrieval (+analysis, +generation)]]>

slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 1: a brief introduction to music information retrieval (+analysis, +generation)]]>
Wed, 27 Oct 2021 09:14:54 GMT /slideshow/20211026-taicca-1-intro-to-mir/250538713 affige@slideshare.net(affige) 20211026 taicca 1 intro to mir affige slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 1: a brief introduction to music information retrieval (+analysis, +generation) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-1introtomir-211027091454-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> slides presented at a three-hour local AI music course in Taiwan in Oct 2021; part 1: a brief introduction to music information retrieval (+analysis, +generation)
20211026 taicca 1 intro to mir from Yi-Hsuan Yang
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Automatic Music Composition with Transformers, Jan 2021 /slideshow/automatic-music-composition-with-transformers-jan-2021/241169865 automaticmusiccompositionwithtransformers-210111045633
An up-to-date version of slides introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/), focusing on introducing the following two publications from our group. [1] "Pop Music Transformer: Beat-based modeling and generation of expressive Pop piano compositions," in Proc. ACM Multimedia, 2020. [2] "Compound Word Transformer: Learning to compose full-song music over dynamic directed hypergraphs," in Proc. AAAI 2021. For the last version of the slides, please visit: https://www2.slideshare.net/affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020/edit?src=slideview]]>

An up-to-date version of slides introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/), focusing on introducing the following two publications from our group. [1] "Pop Music Transformer: Beat-based modeling and generation of expressive Pop piano compositions," in Proc. ACM Multimedia, 2020. [2] "Compound Word Transformer: Learning to compose full-song music over dynamic directed hypergraphs," in Proc. AAAI 2021. For the last version of the slides, please visit: https://www2.slideshare.net/affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020/edit?src=slideview]]>
Mon, 11 Jan 2021 04:56:33 GMT /slideshow/automatic-music-composition-with-transformers-jan-2021/241169865 affige@slideshare.net(affige) Automatic Music Composition with Transformers, Jan 2021 affige An up-to-date version of slides introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/), focusing on introducing the following two publications from our group. [1] "Pop Music Transformer: Beat-based modeling and generation of expressive Pop piano compositions," in Proc. ACM Multimedia, 2020. [2] "Compound Word Transformer: Learning to compose full-song music over dynamic directed hypergraphs," in Proc. AAAI 2021. For the last version of the slides, please visit: https://www2.slideshare.net/affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020/edit?src=slideview <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/automaticmusiccompositionwithtransformers-210111045633-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An up-to-date version of slides introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/), focusing on introducing the following two publications from our group. [1] &quot;Pop Music Transformer: Beat-based modeling and generation of expressive Pop piano compositions,&quot; in Proc. ACM Multimedia, 2020. [2] &quot;Compound Word Transformer: Learning to compose full-song music over dynamic directed hypergraphs,&quot; in Proc. AAAI 2021. For the last version of the slides, please visit: https://www2.slideshare.net/affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020/edit?src=slideview
Automatic Music Composition with Transformers, Jan 2021 from Yi-Hsuan Yang
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Research on Automatic Music Composition at the Taiwan AI Labs, April 2020 /affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020 yatingmusic202004-200423151357
ºÝºÝߣs introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/). The following URLs link to some demo audio files we have put on SoundCloud: all of them were fully automatically generated without any manual post-processing or editing. @ai_piano demo: https://soundcloud.com/yating_ai/sets/ai-piano-generation-demo-202004 @ai_piano+drum demo: https://soundcloud.com/yating_ai/sets/ai-pianodrum-generation-demo-202004 @ai_guitar demo: https://soundcloud.com/yating_ai/ai-guitar-tab-generation-202003/s-KHozfW0PTv5]]>

ºÝºÝߣs introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/). The following URLs link to some demo audio files we have put on SoundCloud: all of them were fully automatically generated without any manual post-processing or editing. @ai_piano demo: https://soundcloud.com/yating_ai/sets/ai-piano-generation-demo-202004 @ai_piano+drum demo: https://soundcloud.com/yating_ai/sets/ai-pianodrum-generation-demo-202004 @ai_guitar demo: https://soundcloud.com/yating_ai/ai-guitar-tab-generation-202003/s-KHozfW0PTv5]]>
Thu, 23 Apr 2020 15:13:57 GMT /affige/research-on-automatic-music-composition-at-the-taiwan-ai-labs-april-2020 affige@slideshare.net(affige) Research on Automatic Music Composition at the Taiwan AI Labs, April 2020 affige ºÝºÝߣs introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/). The following URLs link to some demo audio files we have put on SoundCloud: all of them were fully automatically generated without any manual post-processing or editing. @ai_piano demo: https://soundcloud.com/yating_ai/sets/ai-piano-generation-demo-202004 @ai_piano+drum demo: https://soundcloud.com/yating_ai/sets/ai-pianodrum-generation-demo-202004 @ai_guitar demo: https://soundcloud.com/yating_ai/ai-guitar-tab-generation-202003/s-KHozfW0PTv5 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/yatingmusic202004-200423151357-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs introducing our ongoing projects on automatic music composition at the Yating Music AI Team of the Taiwan AI Labs (https://ailabs.tw/). The following URLs link to some demo audio files we have put on SoundCloud: all of them were fully automatically generated without any manual post-processing or editing. @ai_piano demo: https://soundcloud.com/yating_ai/sets/ai-piano-generation-demo-202004 @ai_piano+drum demo: https://soundcloud.com/yating_ai/sets/ai-pianodrum-generation-demo-202004 @ai_guitar demo: https://soundcloud.com/yating_ai/ai-guitar-tab-generation-202003/s-KHozfW0PTv5
Research on Automatic Music Composition at the Taiwan AI Labs, April 2020 from Yi-Hsuan Yang
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ISMIR 2019 tutorial: Generating music with generative adverairal networks (GANs) /slideshow/ismir2019tutorialgan4music/195115692 ismir2019-tutorial-slides-191119092429
ºÝºÝߣs Hao-Wen Dong and I presented at the ISMIR 2019 tutorial on "Generating Music with GANs—An Overview and Case Studies". More info: https://salu133445.github.io/ismir2019tutorial/]]>

ºÝºÝߣs Hao-Wen Dong and I presented at the ISMIR 2019 tutorial on "Generating Music with GANs—An Overview and Case Studies". More info: https://salu133445.github.io/ismir2019tutorial/]]>
Tue, 19 Nov 2019 09:24:29 GMT /slideshow/ismir2019tutorialgan4music/195115692 affige@slideshare.net(affige) ISMIR 2019 tutorial: Generating music with generative adverairal networks (GANs) affige ºÝºÝߣs Hao-Wen Dong and I presented at the ISMIR 2019 tutorial on "Generating Music with GANs—An Overview and Case Studies". More info: https://salu133445.github.io/ismir2019tutorial/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ismir2019-tutorial-slides-191119092429-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs Hao-Wen Dong and I presented at the ISMIR 2019 tutorial on &quot;Generating Music with GANs—An Overview and Case Studies&quot;. More info: https://salu133445.github.io/ismir2019tutorial/
ISMIR 2019 tutorial: Generating music with generative adverairal networks (GANs) from Yi-Hsuan Yang
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machine learning x music /slideshow/machine-learning-x-music/195112875 20191119machinelearningxmusic-191119091514
a set of slides introducing the application of machine learning to music related applications; intended for audience not with computer science background; ]]>

a set of slides introducing the application of machine learning to music related applications; intended for audience not with computer science background; ]]>
Tue, 19 Nov 2019 09:15:14 GMT /slideshow/machine-learning-x-music/195112875 affige@slideshare.net(affige) machine learning x music affige a set of slides introducing the application of machine learning to music related applications; intended for audience not with computer science background; <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20191119machinelearningxmusic-191119091514-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> a set of slides introducing the application of machine learning to music related applications; intended for audience not with computer science background;
machine learning x music from Yi-Hsuan Yang
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Learning to Generate Jazz & Pop Piano Music from Audio via MIR Techniques /affige/learning-to-generate-jazz-pop-piano-music-from-audio-via-mir-techniques yhyang-191007152220
This set of slides briefly describes what we have been working on at the Yating Music AI team at the Taiwan AI Labs. We are going to talk about these as two demo papers at the 20th annual conference of the International Society for Music Information Retrieval (ISMIR),]]>

This set of slides briefly describes what we have been working on at the Yating Music AI team at the Taiwan AI Labs. We are going to talk about these as two demo papers at the 20th annual conference of the International Society for Music Information Retrieval (ISMIR),]]>
Mon, 07 Oct 2019 15:22:19 GMT /affige/learning-to-generate-jazz-pop-piano-music-from-audio-via-mir-techniques affige@slideshare.net(affige) Learning to Generate Jazz & Pop Piano Music from Audio via MIR Techniques affige This set of slides briefly describes what we have been working on at the Yating Music AI team at the Taiwan AI Labs. We are going to talk about these as two demo papers at the 20th annual conference of the International Society for Music Information Retrieval (ISMIR), <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/yhyang-191007152220-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This set of slides briefly describes what we have been working on at the Yating Music AI team at the Taiwan AI Labs. We are going to talk about these as two demo papers at the 20th annual conference of the International Society for Music Information Retrieval (ISMIR),
Learning to Generate Jazz & Pop Piano Music from Audio via MIR Techniques from Yi-Hsuan Yang
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20190625 Research at Taiwan AI Labs: Music and Speech AI /slideshow/20190625-research-at-taiwan-ai-labs-music-and-speech-ai/152919195 20190625researchattaiwanailabs-musicspeechaiswspublic-190701104317
A very brief introduction of what we have been working on at the AI Labs on "music AI" (specifically, automatic music composition/generation) and "speech AI" (specifically, Mandarin ASR). ]]>

A very brief introduction of what we have been working on at the AI Labs on "music AI" (specifically, automatic music composition/generation) and "speech AI" (specifically, Mandarin ASR). ]]>
Mon, 01 Jul 2019 10:43:17 GMT /slideshow/20190625-research-at-taiwan-ai-labs-music-and-speech-ai/152919195 affige@slideshare.net(affige) 20190625 Research at Taiwan AI Labs: Music and Speech AI affige A very brief introduction of what we have been working on at the AI Labs on "music AI" (specifically, automatic music composition/generation) and "speech AI" (specifically, Mandarin ASR). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20190625researchattaiwanailabs-musicspeechaiswspublic-190701104317-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A very brief introduction of what we have been working on at the AI Labs on &quot;music AI&quot; (specifically, automatic music composition/generation) and &quot;speech AI&quot; (specifically, Mandarin ASR).
20190625 Research at Taiwan AI Labs: Music and Speech AI from Yi-Hsuan Yang
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Machine learning for creative AI applications in music (2018 nov) /affige/machine-learning-for-creative-ai-applications-in-music-2018-nov machinelearningforcreativeaiapplicationsinmusic2018nov-181114140532
An up-to-date overview of our recent research on music/audio and AI. It contains four parts: * AI Listener: source separation (ICMLA'18a) and sound event detection (IJCAI'18) * AI DJ: music thumbnailing (TISMIR'18) and music sequencing (AAAI'18a) * AI Composer: melody generation (ISMIR'17), lead sheet generation (ICMLA'18b), multitrack pianoroll generation (AAAI'18b), and instrumentation generation (arxiv) * AI Performer: CNN-based score-to-audio generation (AAAI'19)]]>

An up-to-date overview of our recent research on music/audio and AI. It contains four parts: * AI Listener: source separation (ICMLA'18a) and sound event detection (IJCAI'18) * AI DJ: music thumbnailing (TISMIR'18) and music sequencing (AAAI'18a) * AI Composer: melody generation (ISMIR'17), lead sheet generation (ICMLA'18b), multitrack pianoroll generation (AAAI'18b), and instrumentation generation (arxiv) * AI Performer: CNN-based score-to-audio generation (AAAI'19)]]>
Wed, 14 Nov 2018 14:05:32 GMT /affige/machine-learning-for-creative-ai-applications-in-music-2018-nov affige@slideshare.net(affige) Machine learning for creative AI applications in music (2018 nov) affige An up-to-date overview of our recent research on music/audio and AI. It contains four parts: * AI Listener: source separation (ICMLA'18a) and sound event detection (IJCAI'18) * AI DJ: music thumbnailing (TISMIR'18) and music sequencing (AAAI'18a) * AI Composer: melody generation (ISMIR'17), lead sheet generation (ICMLA'18b), multitrack pianoroll generation (AAAI'18b), and instrumentation generation (arxiv) * AI Performer: CNN-based score-to-audio generation (AAAI'19) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningforcreativeaiapplicationsinmusic2018nov-181114140532-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An up-to-date overview of our recent research on music/audio and AI. It contains four parts: * AI Listener: source separation (ICMLA&#39;18a) and sound event detection (IJCAI&#39;18) * AI DJ: music thumbnailing (TISMIR&#39;18) and music sequencing (AAAI&#39;18a) * AI Composer: melody generation (ISMIR&#39;17), lead sheet generation (ICMLA&#39;18b), multitrack pianoroll generation (AAAI&#39;18b), and instrumentation generation (arxiv) * AI Performer: CNN-based score-to-audio generation (AAAI&#39;19)
Machine learning for creative AI applications in music (2018 nov) from Yi-Hsuan Yang
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Machine Learning for Creative AI Applications in Music (2018 May) /slideshow/machine-learning-for-creative-ai-applications-in-music-98639148/98639148 20180524yi-hsuanyangmachinelearningforcreativeaiapplicationsinmusic-180524153828-180525075240
Machine Learning for Creative AI Applications in Music, slides presented at the Fifth Taiwanese Music and Audio Computing Workshop (http://mac.citi.sinica.edu.tw/tmac18/)]]>

Machine Learning for Creative AI Applications in Music, slides presented at the Fifth Taiwanese Music and Audio Computing Workshop (http://mac.citi.sinica.edu.tw/tmac18/)]]>
Fri, 25 May 2018 07:52:40 GMT /slideshow/machine-learning-for-creative-ai-applications-in-music-98639148/98639148 affige@slideshare.net(affige) Machine Learning for Creative AI Applications in Music (2018 May) affige Machine Learning for Creative AI Applications in Music, slides presented at the Fifth Taiwanese Music and Audio Computing Workshop (http://mac.citi.sinica.edu.tw/tmac18/) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20180524yi-hsuanyangmachinelearningforcreativeaiapplicationsinmusic-180524153828-180525075240-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Machine Learning for Creative AI Applications in Music, slides presented at the Fifth Taiwanese Music and Audio Computing Workshop (http://mac.citi.sinica.edu.tw/tmac18/)
Machine Learning for Creative AI Applications in Music (2018 May) from Yi-Hsuan Yang
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Research at MAC Lab, Academia Sincia, in 2017 /slideshow/research-at-mac-lab-academia-sincia-in-2017/86436791 researchatmaclabacademiasincia2017-180120055415
Some research projects we did in 2017 at the Music & Audio Computing (MAC) Lab, Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan. It includes three parts: 1) vocal separation, 2) music generation, 3) AI DJ.]]>

Some research projects we did in 2017 at the Music & Audio Computing (MAC) Lab, Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan. It includes three parts: 1) vocal separation, 2) music generation, 3) AI DJ.]]>
Sat, 20 Jan 2018 05:54:15 GMT /slideshow/research-at-mac-lab-academia-sincia-in-2017/86436791 affige@slideshare.net(affige) Research at MAC Lab, Academia Sincia, in 2017 affige Some research projects we did in 2017 at the Music & Audio Computing (MAC) Lab, Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan. It includes three parts: 1) vocal separation, 2) music generation, 3) AI DJ. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/researchatmaclabacademiasincia2017-180120055415-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Some research projects we did in 2017 at the Music &amp; Audio Computing (MAC) Lab, Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan. It includes three parts: 1) vocal separation, 2) music generation, 3) AI DJ.
Research at MAC Lab, Academia Sincia, in 2017 from Yi-Hsuan Yang
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Dimensional Music Emotion Recognition /slideshow/dimensional-music-emotion-recognition/10622458 slides-mer-mtg-11-111217054649-phpapp02
Invited talk at Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain, 2011/12/15. This talk describes a computational framework for automatically predicting the emotion we perceive in music listening. Based on this computational framework, novel emotion-based music organization, browsing, and retrieval methods can be created to provide users an an intuitive, easy-to-use, and effective way for accessing music information.]]>

Invited talk at Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain, 2011/12/15. This talk describes a computational framework for automatically predicting the emotion we perceive in music listening. Based on this computational framework, novel emotion-based music organization, browsing, and retrieval methods can be created to provide users an an intuitive, easy-to-use, and effective way for accessing music information.]]>
Sat, 17 Dec 2011 05:46:46 GMT /slideshow/dimensional-music-emotion-recognition/10622458 affige@slideshare.net(affige) Dimensional Music Emotion Recognition affige Invited talk at Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain, 2011/12/15. This talk describes a computational framework for automatically predicting the emotion we perceive in music listening. Based on this computational framework, novel emotion-based music organization, browsing, and retrieval methods can be created to provide users an an intuitive, easy-to-use, and effective way for accessing music information. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-mer-mtg-11-111217054649-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk at Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain, 2011/12/15. This talk describes a computational framework for automatically predicting the emotion we perceive in music listening. Based on this computational framework, novel emotion-based music organization, browsing, and retrieval methods can be created to provide users an an intuitive, easy-to-use, and effective way for accessing music information.
Dimensional Music Emotion Recognition from Yi-Hsuan Yang
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https://cdn.slidesharecdn.com/profile-photo-affige-48x48.jpg?cb=1694844341 I hold a position as a Full Professor at the Electrical Engineering Department of National Taiwan University. In the meanwhile, I have been with the Taiwan AI Labs, a private research organization in Taiwan, as a Chief Music Scientist, since 2019 March. I work on the crossroad of music and AI. affige.github.io/ https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-3musicanalysissota-211027092029-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/20211026-taicca-3-music-analysis-sota/250538783 20211026 taicca 3 musi... https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-2musicgeneration-211027091512-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/20211026-taicca-2-music-generation/250538716 20211026 taicca 2 musi... https://cdn.slidesharecdn.com/ss_thumbnails/20211026taicca-1introtomir-211027091454-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/20211026-taicca-1-intro-to-mir/250538713 20211026 taicca 1 intr...