Stratis Sofianos

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Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with(More)
Due to the large number of wireless cells that are required for accurately evaluating inter-site interference in cellular networks, computational resources often pose a considerable limitation. In this paper, a novel method for modeling interference at the edges of the region of interest (ROI) of the cellular topology is proposed. While it shares conceptual(More)
Many applications of Music Information Retrieval can benefit from effective isolation of the music sources. Earlier work by the authors led to the development of a system that is based on Azimuth Discrimination and Resynthesis (ADRess) and can extract the singing voice from reverberant stereophonic mixtures. We propose an extension to our previous method(More)
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