Music carries multilayer information which forms different structures. The information embedded in the music can be categorized into time information, harmony/melody, music regions, music similarities, song structures and music semantics. In this chapter, we first survey existing techniques for the music structure information extraction and analysis. We then discuss how the music structure information extraction helps develop music applications. Experimental studies indicate that the success of long term music research is based on how well we integrate domain knowledge of relevant disciplines such as musicology, psychology and signal processing
International audienceMusic is a communication signal and the estimation of music structure is essen...
Since a few years, classification in music research is a very broad and quickly growing field. Most ...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
Music is full of structure, including sections, sequences of distinct musical textures, and the repe...
Music is full of structure, including sections, sequences of distinct musical textures, and the repe...
This paper describes software to facilitate research on the automatic derivation of hierarchical (Sc...
Our proposed approach detects music structures by looking at beat space segmentation, chords, singin...
Existing solutions for searching for appropriate music content rely on methods like string edit dist...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
iv Automatic audio content analysis is a general research area in which algorithms are developed to ...
Abstract. Music is often described in terms of the structure of repeated phrases. For example, many ...
The automatic extraction of musical structure from audio is an important aspect for many music infor...
Music is a ubiquitous and vital part of the lives of billions of people worldwide. Musical creations...
International audienceCan a computer understand musical forms? Musical forms describe how a piece of...
UnrestrictedAutomatic music structure analysis from audio signals is an interesting topic that recei...
International audienceMusic is a communication signal and the estimation of music structure is essen...
Since a few years, classification in music research is a very broad and quickly growing field. Most ...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
Music is full of structure, including sections, sequences of distinct musical textures, and the repe...
Music is full of structure, including sections, sequences of distinct musical textures, and the repe...
This paper describes software to facilitate research on the automatic derivation of hierarchical (Sc...
Our proposed approach detects music structures by looking at beat space segmentation, chords, singin...
Existing solutions for searching for appropriate music content rely on methods like string edit dist...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
iv Automatic audio content analysis is a general research area in which algorithms are developed to ...
Abstract. Music is often described in terms of the structure of repeated phrases. For example, many ...
The automatic extraction of musical structure from audio is an important aspect for many music infor...
Music is a ubiquitous and vital part of the lives of billions of people worldwide. Musical creations...
International audienceCan a computer understand musical forms? Musical forms describe how a piece of...
UnrestrictedAutomatic music structure analysis from audio signals is an interesting topic that recei...
International audienceMusic is a communication signal and the estimation of music structure is essen...
Since a few years, classification in music research is a very broad and quickly growing field. Most ...
Human listeners are able to recognize structure in music through the perception of repetition and ot...