Entropy-based detection of the words boundaries of continuous speech

Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/4195

Title:	Entropy-based detection of the words boundaries of continuous speech
Authors:	Karpov, A. S. Карпов, А. С. Shagrova, G. V. Шагрова, Г. В. Drozdova, V. I. Дроздова, В. И. Shevchenko, A. V. Шевченко, А. В.
Keywords:	Entropy;Continuous speech;Entropy-based;Speech signals;Speech communication
Issue Date:	2018
Publisher:	CEUR-WS
Citation:	Karpov, A.S., Shagrova, G.V., Drozdova, V.I., Shevchenko, A.V. Entropy-based detection of the words boundaries of continuous speech // CEUR Workshop Proceedings. - 2018. - Volume 2254. - Pages 162-167
Series/Report no.:	CEUR Workshop Proceedings
Abstract:	An algorithm for finding the word boundaries in a merged speech is proposed on the basis of a method using the definition of the entropy of a speech signal. The difference between the proposed algorithm and the known ones is the comparison of the speech signal entropy value with the entropy threshold in two stages. The work of the known and proposed algorithm is compared
URI:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85058655124&origin=AuthorNamesList&txGid=7732530c0202ebf1326f55e408eefeb4 http://hdl.handle.net/20.500.12258/4195
Appears in Collections:	Статьи, проиндексированные в SCOPUS, WOS

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