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2014/10/21(二) Emotion-based Music Analysis and Beyond, 楊奕軒研究員

這是10/21(二) 資訊工程研討的演講,歡迎聽講!

 

演講者: Yi-Hsuan Yang,Assistant Research Fellow with the Academia Sinica Research Center for Information Technology Innovation

Taipei, Taiwan

 

時間: 10/21(二) 13:20~15:10

 

地點: 綜合一館地下室 101室 (AB101)

 

主持人:王昱舜教授

 

 

主題: Emotion-based Music Analysis and Beyond

 

大綱:

Automatic recognition of the perceived emotion of music allows users to retrieve and organize their music collections in a fashion that is content-centric and intuitive. A typical approach to music emotion recognition categorizes emotions into a number of classes and applies machine learning techniques to train a classifier. This approach, however, faces a granularity issue that the number of emotion classes is too small in comparison with the richness of emotion perceived by humans. In this talk, I would introduce some research that takes a very different perspective and views emotions as points in a 2-D space spanned by two latent dimensions: valence (how positive or negative) and arousal (how exciting or calming). In this approach, music emotion recognition becomes the prediction of the valence and arousal values of a song corresponding to a point in the emotion plane. This way, the granularity and ambiguity issues associated with emotion classes no longer exist since no categorical class is needed. Moreover, because the 2D plane provides a simple means for user interface, new emotion-based music organization, browsing, and retrieval can be easily created for mobile devices that have small display area.

簡介:

Yi-Hsuan Yang received the Ph.D. degree in Communication Engineering from National Taiwan University in 2010. Since 2011, he has been affiliated with the Academia Sinica Research Center for Information Technology Innovation as an Assistant Research Fellow. He is also an Adjunct Assistant Professor with the National Cheng Kung University. His research interests include music information retrieval, machine learning, and affective computing. Dr. Yang was a recipient of the 2011 IEEE Signal Processing Society Young Author Best Paper Award and the 2014 Ta-You Wu Memorial Research Award. In 2014, he serves as a Technical Program Chair of the 15th International Society for Music Information Retrieval Conference and Guest Editor of the IEEE Transactions on Affective Computing.

 

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