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A MATLAB TOOLBOX FOR MUSICAL FEATURE EXTRACTION FROM AUDIO
TLDR
An overview of the set of features, related, among others, to timbre, tonality, rhythm or form, that can be extracted with MIRtoolbox, an integrated set of functions written in Matlab, dedicated to the extraction of musical features from audio files.
MIR in Matlab (II): A Toolbox for Musical Feature Extraction from Audio
TLDR
An overview of the set of features, related, among others, to timbre, tonality, rhythm or form, that can be extracted with the MIRtoolbox, an integrated set of functions written in Matlab dedicated to the extraction of musical features from audio files.
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A Matlab Toolbox for Music Information Retrieval
We present MIRToolbox, an integrated set of functions written in Matlab, dedicated to the extraction from audio files of musical features related, among others, to timbre, tonality, rhythm or form.…
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Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models
TLDR
An empirical comparison of two common paradigms of emotion representation in music, opposing a multidimensional space to a set of basic emotions and a quantitative mapping between the two are provided.
Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization
TLDR
A composite model explaining pulse clarity judgments from the analysis of audio recordings is established and a dozen of descriptors have been designed, some of them dedicated to low-level characterizations of the onset detection curve, whereas the major part concentrates on descriptions of the periodicities developed throughout the temporal evolution of music.
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Using Machine-Learning Methods for Musical Style Modeling
TLDR
This research seeks to capture some of the regularity apparent in the composition process by using statistical and information theoretic tools to analyze musical pieces and generate new works that imitate the style of the great masters.
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Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music
TLDR
A framework based on cross-indexing for obtaining realistic performance estimate of wrapper selection by taking into account the simplicity and generalizability of the classification models is applied on sets of film soundtrack excerpts that are consensually associated with particular basic emotions.
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Event-related brain responses while listening to entire pieces of music
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Automatic Modeling of Musical Style
TLDR
Two methods for unsupervised learning of musical style are described and compared, both of which perform analyses of musical sequences and then compute a model from which new interpretations / improvisations close to the original's style can be generated.
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ESTIMATING TEMPO AND METRICAL FEATURES BY TRACKING THE WHOLE METRICAL HIERARCHY
Meter is known to play a paramount role in the aesthetic appreciation of music, yet computational modelling remains deficient compared to other dimensions of music analysis. Classical audio-based…
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