This article describes the use of representations based on data extracted from the audio signal (sonogram, chromagram, audio descriptor) in musicology. A first part gives the historical context of these representations and discusses their transfer from the field of exact sciences to musicology. In the second part, I propose three new types of representation particularly effective in musical analysis: visualizations based on waveform and amplitude, a multilayered sonogram and chromagram, and an interface to assist the interpretation of self-similarity matrices for the analysis of musical forms and microstructures
Conveying data and information using non-speech audio is an ever growing field of research. Existing...
Although scientific data is most often displayed visually, it can often be just as advantageous to s...
International audienceWhen, in 1998, I began my research into the analysis of electroacoustic music,...
This article describes the use of representations based on data extracted from the audio signal (son...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
In this paper analytic visualizations are used to selectively highlight salient musical features in ...
In this paper analytic visualizations are used to selectively highlight salient musical features in ...
Conveying data and information using non-speech audio is an ever growing field of research. Existing...
Although scientific data is most often displayed visually, it can often be just as advantageous to s...
International audienceWhen, in 1998, I began my research into the analysis of electroacoustic music,...
This article describes the use of representations based on data extracted from the audio signal (son...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThis article describes the use of representations based on data extracted from...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
International audienceThere are many forms of representation of the sound signal: from the waveform ...
In this paper analytic visualizations are used to selectively highlight salient musical features in ...
In this paper analytic visualizations are used to selectively highlight salient musical features in ...
Conveying data and information using non-speech audio is an ever growing field of research. Existing...
Although scientific data is most often displayed visually, it can often be just as advantageous to s...
International audienceWhen, in 1998, I began my research into the analysis of electroacoustic music,...