Abstract. Music is often described in terms of the structure of repeated phrases. For example, many songs have the form AABA, where each letter represents an instance of a phrase. This research aims to construct descriptions or explanations of music in this form, using only audio recordings as input. A system of programs is described that transcribes the melody of a recording, identifies similar segments, clusters these segments to form patterns, and then constructs an explanation of the music in terms of these patterns. Additional work using spectral information rather than melodic transcription is also described. Examples of successful machine “listening ” and music analysis are presented.
Automated discovery of recurrent patterns in music plays an important role in computational music an...
One major goal of structural analysis of an audio recording is to automatically extract the repetit...
This paper describes software to facilitate research on the automatic derivation of hierarchical (Sc...
Music is often described in terms of the structure of repeated phrases. For example, many songs have...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
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...
A model of music listening has been automated. A program takes digital audio as input, for example f...
Music carries multilayer information which forms different structures. The information embedded in t...
A musical piece typically has repetitive structures. Analysis of this structure can be used for musi...
iv Automatic audio content analysis is a general research area in which algorithms are developed to ...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
This dataset consists of 14 audio tracks generated by the algorithmic composition systems described ...
This paper deals with the automatic generation of music audio summaries from signal analysis without...
Automated discovery of recurrent patterns in music plays an important role in computational music an...
One major goal of structural analysis of an audio recording is to automatically extract the repetit...
This paper describes software to facilitate research on the automatic derivation of hierarchical (Sc...
Music is often described in terms of the structure of repeated phrases. For example, many songs have...
Human listeners are able to recognize structure in music through the perception of repetition and ot...
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...
A model of music listening has been automated. A program takes digital audio as input, for example f...
Music carries multilayer information which forms different structures. The information embedded in t...
A musical piece typically has repetitive structures. Analysis of this structure can be used for musi...
iv Automatic audio content analysis is a general research area in which algorithms are developed to ...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
This dataset consists of 14 audio tracks generated by the algorithmic composition systems described ...
This paper deals with the automatic generation of music audio summaries from signal analysis without...
Automated discovery of recurrent patterns in music plays an important role in computational music an...
One major goal of structural analysis of an audio recording is to automatically extract the repetit...
This paper describes software to facilitate research on the automatic derivation of hierarchical (Sc...