With recent advances in the field of music informatics, approaches to audio-based music
structural analysis have matured considerably, allowing researchers to reassess the …

Despite strong demand in the game and film industry, automatically synthesizing high-
quality dance motions remains a challenging task. In this paper, we present ChoreoMaster …

Unsupervised semantic segmentation in the time series domain is a much-studied problem
due to its potential to detect unexpected regularities and regimes in poorly understood data …

As an important format of multimedia, music has filled almost everyone's life. Automatic
analyzing of music is a significant step to satisfy people's need for music retrieval and music …

Many approaches to analyzing the structure of a musical recording involve detecting
sequential patterns within a selfsimilarity matrix derived from time-series features. Such …

Unsupervised semantic segmentation in the time series domain is a much studied problem
due to its potential to detect unexpected regularities and regimes in poorly understood data …

Systematic Exploration of Computational Music Structure Research Page 1 Systematic
Exploration of Computational Music Structure Research Oriol Nieto Juan Pablo Bello New York …

The determination of structural boundaries is a key task for understanding the structure of a
musical piece, but it is also highly ambiguous. Recently, Convolutional Neural Networks …

One of the central goals of Music Information Retrieval (MIR) is the quantification of similarity
between or within pieces of music. These quantitative relations should mirror the human …

Music segmentation refers to the dual problem of identifying boundaries between, and
labeling, distinct music segments, eg, the chorus, verse, bridge etc. in popular music. The …