About: Audio Data Classification by Means of New Algorithms

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper describes classification of sound recordings based on their audio features. This is useful for querying large datasets, searching for recordings with some desired content. We use musical recordings as well as birdsongs recordings, which usually have rich structure and contain a lot of patterns suitable for classification. We present two different classification methods, one for musical recordings and one for birdsongs. These methods are compared and their differences are discussed. In case of musical recordings we use feature vectors describing the recording as a whole piece and we classify these feature vectors with the Self-organizing map and Learning Vector Quantization combination which represent a powerful algorithm using unlabeled as well as labeled data. In case of birdsongs we use feature vectors representing time frames of a recording. This paper describes classification of sound recordings based on their audio features. This is useful for querying large datasets, searching for recordings with some desired content. We use musical recordings as well as birdsongs recordings, which usually have rich structure and contain a lot of patterns suitable for classification. We present two different classification methods, one for musical recordings and one for birdsongs. These methods are compared and their differences are discussed. In case of musical recordings we use feature vectors describing the recording as a whole piece and we classify these feature vectors with the Self-organizing map and Learning Vector Quantization combination which represent a powerful algorithm using unlabeled as well as labeled data. In case of birdsongs we use feature vectors representing time frames of a recording. (en)
Title	Audio Data Classification by Means of New Algorithms Audio Data Classification by Means of New Algorithms (en)
skos:prefLabel	Audio Data Classification by Means of New Algorithms Audio Data Classification by Means of New Algorithms (en)
skos:notation	RIV/00216305:26220/13:PU104564!RIV14-MSM-26220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0072)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Šťastný, Jiří Škorpil, Vladislav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	62501
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104564
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	sound processing, classification, semi-supervised learning, SOM, LVQ, HMM (en)
http://linked.open.../riv/klicoveSlovo	LVQ sound processing SOM HMM classification semi-supervised learning
http://linked.open...ontrolniKodProRIV	[CFA8B09D11F3]
http://linked.open...v/mistoKonaniAkce	Rome
http://linked.open...i/riv/mistoVydani	Rome, Italy
http://linked.open...i/riv/nazevZdroje	Proceedings of the 36 th International Conference on Telecommunikations and Signal Processing (TSP 2013)
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre of sensor, information and communication systems
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Fejfar, Jiří Škorpil, Vladislav Šťastný, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-02 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	TSP
https://schema.org/isbn	978-1-4799-0402-0
http://localhost/t...ganizacniJednotka	26220

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