Automatic Sound Recognition of Urban Environment Events

Autor:	Theodoros Theodorou, Iosif Mporas, Nikos Fakotakis
Rok vydání:	2015
Předmět:	Set (abstract data type) Support vector machine Audio mining Computer science Speech recognition Frequency domain Audio analyzer Sound recognition Urban environment
Zdroj:	Speech and Computer ISBN: 9783319231310 SPECOM
DOI:	10.1007/978-3-319-23132-7_16
Popis:	The audio analysis of speaker’s surroundings has been a first step for several processing systems that enable speaker’s mobility though his daily life. These algorithms usually operate in a short-time analysis decomposing the incoming events in time and frequency domain. In this paper, an automatic sound recognizer is studied, which investigates audio events of interest from urban environment. Our experiments were conducted using a close set of audio events from which well known and commonly used audio descriptors were extracted and models were training using powerful machine learning algorithms. The best urban sound recognition performance was achieved by SVMs with accuracy equal to approximately 93 %.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c38c3d95136f8daa26e07a46ba347fd4 https://doi.org/10.1007/978-3-319-23132-7_16 Zobrazit plný text záznamu