Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interference Reduction in Music Recordings Combining Kernel Additive
  Modelling and Non-Negative Matrix Factorization   In live and studio recordings unexpected sound events often lead to
interferences in the signal. For non-stationary interferences, sound source
separation techniques can be used to reduce the interference level in the
recording. In this context, we present a novel approach combining the strengths
of two algorithmic families: NMF and KAM. The recent KAM approach applies
robust statistics on frames selected by a source-specific kernel to perform
source separation. Based on semi-supervised NMF, we extend this approach in two
ways. First, we locate the interference in the recording based on detected NMF
activity. Second, we improve the kernel-based frame selection by incorporating
an NMF-based estimate of the clean music signal. Further, we introduce a
temporal context in the kernel, taking some musical structure into account. Our
experiments show improved separation quality for our proposed method over a
state-of-the-art approach for interference reduction.

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The categories of this paper are: mtrl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: eess
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The categories of this paper are: plasm-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-ex
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph