ISMIR 2008 – Session 3a – Content-Based Retrieval, Categorization and Similarity 1 LEARNING A METRIC FOR MUSIC SIMILARITY

Citations in the corpus

• Image-Based Recommendations on Styles and Substitutes (2015, background): “The system shares these characteristics with more common forms of recommender system, but does so on the basis of the appearance of the object, rather than metadata, reviews, or similar.”
• Unsupervised Learning of Semantic Audio Representations (2017, background): “Classical distance metric learning has also been applied to music in the past [13].”
• Encoding Musical Style with Transformer Autoencoders (2019, background): “We incorporate and extend upon the rich line of work for measuring music similiarity in symbolic music (Ghias et al., 1995; Berenzweig et al., 2004; Slaney et al., 2008; Hung et al., 2019; Yang & Lerch, 2018) for our setting, in which we evaluate similarities between polyphonic piano performances as”
• Metric Learning: A Survey (2013, unknown): “In [65], Slaney et al.”
• A Survey of Audio-Based Music Classification and Annotation (2011, background): “tures based on some feature mapping or projection rule [115], [121].”