IEEE - Institute of Electrical and Electronics Engineers, Inc. - Voice activity detection using a sliding-window, maximum margin clustering approach

ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing

Author(s): Phillip De Leon ; Salvador Sanchez
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Vancouver, BC, Canada
Conference Date: 26 May 2013
Page(s): 6,674 - 6,678
ISBN (Electronic): 978-1-4799-0356-6
ISSN (Paper): 1520-6149
DOI: 10.1109/ICASSP.2013.6638953
Regular:

Recently, an unsupervised, data clustering algorithm based on maximum margin, i.e. support vector machine (SVM) was reported. The maximum margin clustering (MMC) algorithm was later applied to the... View More

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