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Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle
A new method for the estimation of multiple concurrent pitches in piano recordings is presented. It addresses the issue of overlapping overtones by modeling the spectral envelope of the overtones of…
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Fast approximated power iteration subspace tracking
TLDR
This paper introduces a fast implementation of the power iteration method for subspace tracking, based on an approximation that is less restrictive than the well-known projection approximation, and guarantees the orthonormality of the subspace weighting matrix at each iteration.
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Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals
TLDR
A new signal model is proposed where the leading vocal part is explicitly represented by a specific source/filter model and reaches state-of-the-art performances on all test sets.
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Vocal detection in music with support vector machines
TLDR
A temporal smoothing of the posterior probabilities with a hidden Markov model that helps adapting the segmentation sequence to the precision of the manual annotation in a polyphonic musical signal.
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A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation
TLDR
A source/filter signal model which provides a mid-level representation which makes the pitch content of the signal as well as some timbre information available, hence keeping as much information from the raw data as possible.
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MAPS - A piano database for multipitch estimation and automatic transcription of music
TLDR
The database provides a large amount of sounds obtained in various recording conditions, and is composed by isolated notes, random-pitch chords, usual musical chords and pieces of music.
A new perturbation analysis for signal enumeration in rotational invariance techniques
TLDR
This paper analyzes the perturbation induced by an erroneous model order, and presents an error bound for the estimated parameters, and proposes a new method for selecting an appropriate modeling order, which consists in minimizing the error bound.
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Selecting the modeling order for the ESPRIT high resolution method: an alternative approach
TLDR
This work proposes a new method for selecting an appropriate modeling order, which outperformed the classical information theoretic criteria and was applied to both synthetic and musical signals.
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Instrument recognition in polyphonic music based on automatic taxonomies
TLDR
This study focuses on a single music genre but combines a variety of instruments among which are percussion and singing voice, and obtains a taxonomy of musical ensembles which is used to efficiently classify possible combinations of instruments played simultaneously.
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Musical instrument recognition by pairwise classification strategies
TLDR
It is shown that higher recognition rates can be reached with pairwise optimized subsets of features in association with SVM classification using a radial basis function kernel.
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