Method and system for categorizing musical sound according to emotions
AssigneeX-System Limited
InventorsNigel Osborne, Kit Barnes, John Turner
Life of this patent
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Abstract
A computer implemented method for analysing sounds, such as audio tracks, and automatically classifying the sounds in a space in which arousal is one axis and valence is another axis. The location of a sound or track in that arousal-valence space is automatically determined using a computer implemented system that analyses, measures or infers values for each of the following base feature parameters: harmonicity, turbulence, rhythmicity, sharpness, volume and linear harmonic cost, or any combination of two or more of those parameters.
Claims30
A computer implemented method for analysing sounds, such as audio tracks, and automatically classifying the sounds in a space in which arousal is one axis and valence is another axis;
- and the location of a sound or track in that arousal-valence space is automatically determined using a computer implemented system that analyses, measures or infers values for all of the following base feature parameters:
- harmonicity, turbulence, rhythmicity, sharpness, volume and linear harmonic cost;
- in which the turbulence is determined using an equation that links the turbulence to the harmonicity and energy during peak volume, and in which the linear harmonic cost arises from short-time Fourier transform (STFT) time slices whose fundamental frequency differs from that of the previous slice;
- in which the computer implemented system uses the analysed, measured or inferred values of the base feature parameters to locate the sound or track in that arousal-valence space.
A computer implemented system configured to analyze sounds, such as audio tracks, and automatically classify the sounds in a space in which arousal is one axis and valence is another axis;
- and the location of a sound or track in that arousal-valence space is automatically determined by analyzing, measuring or inferring values for all of the following base feature parameters:
- harmonicity, turbulence, rhythmicity, sharpness, volume and linear harmonic cost;
- in which the turbulence is determined using an equation that links the turbulence to the harmonicity and energy during peak volume, and in which the linear harmonic cost arises from short-time Fourier transform (STFT) time slices whose fundamental frequency differs from that of the previous slice;
- in which the computer implemented system is configured to use the analysed, +-measured or inferred values of the base feature parameters to locate the sound or track in that arousal-valence space.
Dependencies are inferred from the claim text.