Dan Yang
University of Ottawa
4 Papers
3 Citations
Dan Yang is an academic researcher from University of Ottawa. The author has contributed to research in topics: Computer science & Diagonal. The author has an hindex of 2, co-authored 2 publications.
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Papers
•Proceedings Article
Disambiguating Music Emotion Using Software Agents.
Dan Yang,Won-Sook Lee +1 more
- 01 Jan 2004
TL;DR: Emo is a music annotation prototype that combines inputs from both human and software agents to better study human listening, and a functional theory of human emotion provides the basis for introducing necessary bias into the machine learning agents.
Large-Scale Multimodal Piano Music Identification Using Marketplace Fingerprinting
TL;DR: This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting, which substantially outperforms previous methods while simultaneously reducing average runtime.
6
A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences
Dan Yang,Thaxter Shaw,T. J. Tsai +2 more
TL;DR: The authors' experiments indicate that ParDTW is the most practical and useful of the four algorithms: it computes an exact DTW alignment and reduces runtime by 1.5 to 2 orders of magnitude on long sequences compared to current alternatives.
Music Emotion Identification from Lyrics
Dan Yang,Won-Sook Lee +1 more
- 14 Dec 2009
TL;DR: Mining lyrics focused in this paper is one aspect of research which combines different classifiers of musical emotion such as acoustics and lyrical text, which is promising and generates classification models that are human-comprehensible and correspond to commonsense intuitions about specific emotions.