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Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation
University College Dublin.ORCID iD: 0000-0002-3912-1470
University College Dublin.
National University of Ireland Maynooth.ORCID iD: 0000-0003-0521-4553
2009 (English)In: Independent Component Analysis and Signal Separation / [ed] Tulay Adali et al.,, Brazil: Springer-Verlag New York, 2009, Vol. 5441, 573-580 p.Conference paper (Refereed)
Abstract [en]

We describe a new localisation and source separation algo- rithm which is based upon the accurate construction of time-frequency spatial signatures. We present a technique for constructing time-frequency spatial signatures with the required accuracy. This algorithm for multi- channel source separation and localisation allows arbitrary placement of microphones yet achieves good performance. We demonstrate the efficacy of the technique using source location estimates and compare estimated time-frequency masks with the ideal 0 dB mask.

Place, publisher, year, edition, pages
Brazil: Springer-Verlag New York, 2009. Vol. 5441, 573-580 p.
Series
, Lecture Notes in Computer Science, ISSN 0302-9743
Keyword [en]
Time-Frequency Analysis
National Category
Signal Processing
Research subject
Applied and Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-175435DOI: 10.1007/978-3-642-00599-272ISBN: 978-3-642-00599-2OAI: oai:DiVA.org:kth-175435DiVA: diva2:860969
Conference
Independent Component Analysis
Note

QC 20151211

Available from: 2015-10-14 Created: 2015-10-14 Last updated: 2015-12-11Bibliographically approved

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Publisher's full texthttp://link.springer.com/chapter/10.1007%2F978-3-642-00599-2_72

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de Fréin, RuairíPearlmutter, Barak A.
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