TSB is obtained by using a fixed value K and setting ∀d, p(Vd,K = 1) = 1; this implies that the mixture proportions πd,k are equal to zero for k>K. Note that the proposed model does have “infinite-state” spectral bases, and that the finite approximation is only linked to the use of variational inference.
Abstract: This paper presents a nonparametric Bayesian extension of non-negative matrix factorization (NMF) for music signal analysis.
This paper presents a nonparametric Bayesian extension of non-negative matrix factorization (NMF) for music signal analysis. Instrument sounds often exhibit ...
Abstract: This paper presents a nonparametric Bayesian extension of non-negative matrix factorization (NMF) for music signal analysis.
This paper describes the extension of NMF with infinite-state spectral bases generated by the Dirichlet process in a statistical framework, ...
This paper presents a nonparametric Bayesian extension of non-negative matrix factorization (NMF) for music signal analysis. Instrument sounds often exhibit ...
ABSTRACT. This paper presents novel probabilistic models that can be used to estimate multiple fundamental frequencies (F0s) from polyphonic audio signals.
Spectral windowing, which consists of assigning different weights to different signal samples, deals systematically with finite-size effects. The simplest ...
A spectral peak is naturally modeled as a sinusoidal component which has been shaped by some kind of window function or amplitude envelope in the time domain.
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Instrument sounds often exhibit non-stationary spectral characteristics. We introduce infinite-state spectral bases into NMF to represent time-varying spectra ...