Yu-Ching Lin
National Taiwan University
19 Papers
127 Citations
Yu-Ching Lin is an academic researcher from National Taiwan University. The author has contributed to research in topics: Emotion classification & Recommender system. The author has an hindex of 14, co-authored 19 publications. Previous affiliations of Yu-Ching Lin include Academia Sinica.
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Papers
A Regression Approach to Music Emotion Recognition
TL;DR: This paper forms MER as a regression problem to predict the arousal and valence values (AV values) of each music sample directly and applies the regression approach to detect the emotion variation within a music selection and find the prediction accuracy superior to existing works.
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Toward Multi-modal Music Emotion Classification
Yi-Hsuan Yang,Yu-Ching Lin,Heng-Tze Cheng,I-Bin Liao,Yeh-Chin Ho,Homer H. Chen +5 more
- 09 Dec 2008
TL;DR: By exploiting both the audio features and the lyrics of a song, the proposed approach improves the 4-class emotion classification accuracy from 46.6% to 57.1% and shows that the incorporation of lyrics significantly enhances the classification accuracy of valence.
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Query-based Music Recommendations via Preference Embedding
Chih-Ming Chen,Ming-Feng Tsai,Yu-Ching Lin,Yi-Hsuan Yang +3 more
- 07 Sep 2016
TL;DR: A novel technique called "Heterogeneous Preference Embedding" is presented, which allows a user to specify his/her search intention while exploring new items, thereby incorporating the concept of information retrieval into recommendation systems.
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Addressing Cold Start for Next-song Recommendation
Szu-Yu Chou,Yi-Hsuan Yang,Jyh-Shing Roger Jang,Yu-Ching Lin +3 more
- 07 Sep 2016
TL;DR: A tensor factorization-based algorithm that exploits content features extracted from music audio to deal with the cold start problem for the emerging application next-song recommendation and exhibits not only higher accuracy but also better novelty and diversity, suggesting its applicability in helping a user explore new items in next-item recommendation.
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Exploiting online music tags for music emotion classification
Yu-Ching Lin,Yi-Hsuan Yang,Homer H. Chen +2 more
- 04 Nov 2011
TL;DR: A novel data-sampling method that eliminates the imbalance of the online tags but still takes the prior probability of each emotion class into account, and a two-layer emotion classification structure is proposed to harness the genre information available in the online repository of music tags.
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