Title:	Detection of overlapping speech using a convolutional neural network: first experiments
Authors:	Kunešová, Marie
Citation:	RENDL, Jan ed. Studentská vědecká konference: magisterské a doktorské studijní programy, sborník rozšířených abstraktů, květen 2018, Plzeň. Plzeň: Západočeská univerzita v Plzni, 2019, s. 56-57. ISBN 978-80-261-0790-3.
Issue Date:	2018
Publisher:	Západočeská univerzita v Plzni
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/29824 http://svk.fav.zcu.cz/download/sbornik_svk_2018.pdf
ISBN:	978-80-261-0790-3
Keywords:	konvoluční neuronové sítě;počítačové zpracování řeči;překrývající se řeč
Keywords in different language:	convolution neural networks;computer speech processing;overlapping speech
Abstract in different language:	Many speech processing applications, such as speaker diarization and speech recognition, have problems with overlapping speech, i.e. intervals in which multiple speakers are talking simultaneously. This happens particularly often in spontaneous conversations, where speakers may regularly interrupt each other or interject short utterances while the original speaker keeps talking. Detecting such occurrences can help improve the performance of the impacted systems.However, this is still an actively researched task, which has not yet been fully solved. In this work, I describe my initial experiments in using a convolutional neural network (CNN) to detect overlapping speech in an artificial dataset created for the purpose.
Rights:	© Západočeská univerzita v Plzni
Appears in Collections:	Studentská vědecká konference 2018-magisterské a doktorské studijní programy Studentská vědecká konference 2018-magisterské a doktorské studijní programy

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