Generating music has a few notable differences from generating images and videos. First,
music is an art of time, necessitating a temporal model. Second, music is usually composed …

This document describes version 0.4. 0 of librosa: a Python package for audio and music
signal processing. At a high level, librosa provides implementations of a variety of common …

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 …

The recognition of boundaries, eg, between chorus and verse, is an important task in music
structure analysis. The goal is to automatically detect such boundaries in audio signals so …

Definitive embeddings remain a fundamental challenge of computational musicology for
symbolic music in deep learning today. Analogous to natural language, music can be …

Automatically inferring the structural properties of raw multimedia documents is essential in
today's digitized society. Given its hierarchical and multi-faceted organization, musical …

We study cross-modal recommendation of musictracks to be used as soundtracks for videos.
This problem is known as the music supervision task. We build on a self-supervised system …

This paper describes a supervised learning algorithm which optimizes a feature
representation for temporally constrained clustering. The proposed method is applied to …

The task of general audio detection and segmentation is quite common in contemporary
audio applications where computational intensive processes are frequently involved …

Music exhibits structure at multiple scales, ranging from motifs to large-scale functional
components. When inferring the structure of a piece, different listeners may attend to …