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High resolution NMF for modeling mixtures of non-stationary signals in the time-frequency domain
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Badeau, Roland |
| Abstract | Nonnegative Matrix Factorization (NMF) is a powerful tool for decomposing mixtures of non-stationary signals in the Time-Frequency (TF) domain. However, unlike the High Resolution (HR) methods dedicated to mixtures of complex exponentials, its spectral resolution is limited by that of the underlying TF representation. In this paper, we present a unified probabilistic model called HR-NMF, that permits to overcome this limit by taking both phases and local correlations in each frequency band into account. This model is estimated with a recursive implementation of the Expectation-Maximization (EM) algorithm. Its capabilities are illustrated in the context of audio source separation and audio inpainting. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Audio inpainting Nonnegative Matrix Factorization High Resolution methods Expectation-Maximization algorithm Source separation Audio inpainting. spi info Engineering Sciences [physics] Signal and Image processing Computer Science [cs] Signal and Image Processing |
| Content Type | Text |
| Resource Type | Article |
