A spectral slit approach to doubletalk detection Low, Siow Yong, Venkatesh, Svetha and Nordholm, Sven 2012, A spectral slit approach to doubletalk detection, IEEE Transactions on Audio Speech and Language Processing, vol. 20, no. 3, pp. 1074-1080, doi: 10.1109/TASL.2011.2168210. Attached Files Name Description MIMEType Size Downloads Title A spectral slit approach to doubletalk detection Author(s) Low, Siow Yong Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Nordholm, Sven Journal name IEEE Transactions on Audio Speech and Language Processing Volume number 20 Issue number 3 Start page 1074 End page 1080 Total pages 7 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2012-03 ISSN 1558-7916 1558-7924 Keyword(s) Acoustic echo cancellation (AEC) doubletalk detector spectral slit Summary A new class of doubletalk detector based on exploiting a spectral slit is proposed. This is achieved by spectrally deleting a frequency band in the far-end signal such that when the near-end signal is present, only the near-end spectral information is present. The proposed method relies solely on the detection of speech activity period in the slit area, and significantly, it requires no estimation of the echo path. Evaluation in typical acoustic echo setups shows that the proposed method outperforms other conventional doubletalk detectors in terms of probability of miss detection even under poor echo-to-noise ratio (ENR), low echo-to-far-end ratio (EFR) conditions, and echo path change. Language eng DOI 10.1109/TASL.2011.2168210 Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2012, Institute of Electrical and Electronics Engineers Persistent URL http://hdl.handle.net/10536/DRO/DU:30046973 Document type: Journal Article Collection: Centre for Pattern Recognition and Data Analytics Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 13 Aug 2012, 12:56:00 EST Wed, 10 Oct 2012, 11:40:04 EST Wed, 10 Oct 2012, 13:42:54 EST Fri, 30 Nov 2012, 10:32:04 EST Fri, 30 Nov 2012, 10:36:14 EST Wed, 08 May 2013, 15:46:51 EST Thu, 09 May 2013, 08:31:12 EST Fri, 13 Jun 2014, 14:42:36 EST Sat, 17 Jun 2017, 03:11:49 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 251 Abstract Views, 11 File Downloads  -  Detailed Statistics Created: Mon, 13 Aug 2012, 12:56:00 EST

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