Separation of harmonic sound sources using sinusoidal modeling
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
The expected amplitude of overlapping partials of harmonic sounds
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Underdetermined Anechoic Blind Source Separation via -Basis-Pursuit With
IEEE Transactions on Signal Processing
Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
IEEE Transactions on Signal Processing
Auditory Segmentation Based on Onset and Offset Analysis
IEEE Transactions on Audio, Speech, and Language Processing
Single-Mixture Audio Source Separation by Subspace Decomposition of Hilbert Spectrum
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Blind Source Separation Exploiting Higher-Order Frequency Dependencies
IEEE Transactions on Audio, Speech, and Language Processing
Audio source separation with a single sensor
IEEE Transactions on Audio, Speech, and Language Processing
Multichannel blind deconvolution for source separation in convolutive mixtures of speech
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Blind source separation based on a fast-convergence algorithm combining ICA and beamforming
IEEE Transactions on Audio, Speech, and Language Processing
Separation of Singing Voice From Music Accompaniment for Monaural Recordings
IEEE Transactions on Audio, Speech, and Language Processing
Melody Extraction and Musical Onset Detection via Probabilistic Models of Framewise STFT Peak Data
IEEE Transactions on Audio, Speech, and Language Processing
Separation of synchronous pitched notes by spectral filtering of harmonics
IEEE Transactions on Audio, Speech, and Language Processing
Single-Channel Speech Separation Using Soft Mask Filtering
IEEE Transactions on Audio, Speech, and Language Processing
Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation
IEEE Transactions on Audio, Speech, and Language Processing
Spatio–Temporal FastICA Algorithms for the Blind Separation of Convolutive Mixtures
IEEE Transactions on Audio, Speech, and Language Processing
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation
IEEE Transactions on Audio, Speech, and Language Processing
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling
IEEE Transactions on Audio, Speech, and Language Processing
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This paper presents a method for estimating the amplitude of coincident partials generated by harmonic musical sources (instruments and vocals). It was developed as an alternative to the commonly used interpolation approach, which has several limitations in terms of performance and applicability. The strategy is based on the following observations: (a) the parameters of partials vary with time; (b) such a variation tends to be correlated when the partials belong to the same source; (c) the presence of an interfering coincident partial reduces the correlation; and (d) such a reduction is proportional to the relative amplitude of the interfering partial. Besides the improved accuracy, the proposed technique has other advantages over its predecessors: it works properly even if the sources have the same fundamental frequency, it is able to estimate the first partial (fundamental), which is not possible using the conventional interpolation method, it can estimate the amplitude of a given partial even if its neighbors suffer intense interference from other sources, it works properly under noisy conditions, and it is immune to intraframe permutation errors. Experimental results show that the strategy clearly outperforms the interpolation approach.