About: Segmentation of Speech and Humming in Vocal Input

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.radioeng.cz/fulltexts/2012/12_03_0923_0929.pdf
Description	Non-verbal vocal interaction (NVVI) is an interaction method in which sounds other than speech produced by a human are used, such as humming. NVVI complements traditional speech recognition systems with continuous control. In order to combine the two approaches (e.g. %22volume up, mmm%22) it is necessary to perform a speech/NVVI segmentation of the input sound signal. This paper presents two novel methods of speech and humming segmentation. The first method is based on classification of MFCC and RMS parameters using a neural network (MFCC method), while the other method computes volume changes in the signal (IAC method). The two methods are compared using a corpus collected from 13 speakers. The results indicate that the MFCC method outperforms IAC in terms of accuracy, precision, and recall. Non-verbal vocal interaction (NVVI) is an interaction method in which sounds other than speech produced by a human are used, such as humming. NVVI complements traditional speech recognition systems with continuous control. In order to combine the two approaches (e.g. %22volume up, mmm%22) it is necessary to perform a speech/NVVI segmentation of the input sound signal. This paper presents two novel methods of speech and humming segmentation. The first method is based on classification of MFCC and RMS parameters using a neural network (MFCC method), while the other method computes volume changes in the signal (IAC method). The two methods are compared using a corpus collected from 13 speakers. The results indicate that the MFCC method outperforms IAC in terms of accuracy, precision, and recall. (en)
Title	Segmentation of Speech and Humming in Vocal Input Segmentation of Speech and Humming in Vocal Input (en)
skos:prefLabel	Segmentation of Speech and Humming in Vocal Input Segmentation of Speech and Humming in Vocal Input (en)
skos:notation	RIV/68407700:21230/12:00196538!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012), Z(MSM6840770014)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Havlík, Jan Sporka, Adam Poláček, Ondřej
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	167234
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00196538
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Non-verbal vocal interaction; speech; MFCC; neural network; segmentation; multi-layer perceptron. (en)
http://linked.open.../riv/klicoveSlovo	segmentation MFCC neural network speech multi-layer perceptron. Non-verbal vocal interaction
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[E98DD3B2EAEC]
http://linked.open...i/riv/nazevZdroje	Radioengineering
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	21
http://linked.open...iv/tvurceVysledku	Poláček, Ondřej Sporka, Adam Havlík, Jan
http://linked.open...ain/vavai/riv/wos	000309253000021
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II Výzkum perspektivních informačních a komunikačních technologií
issn	1210-2512
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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