Machine Learning Algorithms for Environmental Sound Recognition: Towards Soundscape Semantics

Vasileios Bountourakis, Lazaros Vrysis, George V. Papanikolaou

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

14 Citations (Scopus)

Abstract

This paper investigates methods aiming at the automatic recognition and classification of discrete environmental sounds, for the purpose of subsequently applying these methods to the recognition of soundscapes. Research in audio recognition has traditionally focused on the domains of speech and music. Comparatively little research has been done towards recognizing non-speech environmental sounds. For this reason, in this paper, we apply existing techniques that have been proved efficient in the other two domains. These techniques are comprehensively compared to determine the most appropriate one for addressing the problem of environmental sound recognition.
Original languageEnglish
Title of host publicationProceedings of the 10th Audio Mostly
Subtitle of host publicationA Conference on Interaction With Sound
PublisherACM
Number of pages7
ISBN (Print)9781450338967
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventAudio Mostly Conference: A Conference on Interaction with Sound - Thessaloniki, Greece
Duration: 7 Oct 20159 Oct 2015

Conference

ConferenceAudio Mostly Conference
CountryGreece
CityThessaloniki
Period07/10/201509/10/2015

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