Real-Time Uses of Low Level Sound Descriptors as Event Detection Functions

Autor:	Mikhail Malt, Emmanuel Jourdan
Rok vydání:	2011
Předmět:	Visual Arts and Performing Arts Computer science Event (computing) Speech recognition 020206 networking & telecommunications Context (language use) 06 humanities and the arts 02 engineering and technology computer.software_genre Standard deviation 060404 music Continuation Electroacoustic music 0202 electrical engineering electronic engineering information engineering Data mining computer 0604 arts Music Musical analysis
Zdroj:	Journal of New Music Research. 40:217-223
ISSN:	1744-5027 0929-8215
DOI:	10.1080/09298215.2011.602694
Popis:	This paper is a continuation of the research and development we began last year on the study and the use of audio descriptors for real-time performance of mixed acoustic and electroacoustic music, and as tools for computer-assisted musical analysis. In this paper, our main goal is to propose easy and efficient strategies and methodologies for event detection in this context. We will examine three cases of the use of audio descriptors to build event detection functions: spectral slope, spectral standard deviation and the construction of compound descriptors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b78699939df22ff9578251a7b9210187 https://doi.org/10.1080/09298215.2011.602694 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.