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Browsing by Author "Sofianos, Stratis"
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An efficient inter-site interference model for 4G wireless networks
Amate, Ahmed; Sofianos, Stratis; Milosavljevic, Milos; Kourtessis, Pandelis; Senior, J.M. (Institute of Electrical and Electronics Engineers (IEEE), 2013-12-01)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 ... -
Self-organized cooperative 5G RANs with intelligent optical backhauls for mobile cloud computing
Milosavljevic, Milos; Sofianos, Stratis; Kourtessis, Pandelis; Senior, J.M. (Institute of Electrical and Electronics Engineers (IEEE), 2013-12-27)In the near future, it is expected that mobile cloud computing (MCC) will benefit enterprises by improving network manageability and maintenance, as well as end users with respect to sharing computing resources. For this ... -
Singing Voice Extraction from Stereophonic Recordings
Sofianos, Stratis (2013-02-20)Singing voice separation (SVS) can be defined as the process of extracting the vocal element from a given song recording. The impetus for research in this area is mainly that of facilitating certain important applications ... -
Singing voice separation based on non-vocal independent component subtraction and amplitude discrimination
Sofianos, Stratis; Ariyaeeinia, Aladdin; Polfreman, Richard (Institute of Electronic Music and Acoustics, 2010)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 ... -
Towards effective singing voice extraction from stereophonic recordings
Sofianos, Stratis; Ariyaeeinia, A.; Polfreman, R. (Institute of Electrical and Electronics Engineers (IEEE), 2010)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 ...