TUT Database for Acoustic Scene Classification and Sound Event Detection

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

    275 Citations (Scopus)
    504 Downloads (Pure)

    Abstract

    We introduce TUT Acoustic Scenes 2016 database for environmental sound research, consisting of binaural recordings from 15 different acoustic environments. A subset of this database, called TUT Sound Events 2016, contains annotations for individual sound events, specifically created for sound event detection. TUT Sound Events 2016 consists of residential area and home environments, and is manually annotated to mark onset, offset and label of sound events. In this paper we present the recording and annotation procedure, the database content,
    a recommended cross-validation setup and performance of supervised acoustic scene classification system and event detection baseline system using mel frequency cepstral coefficients and Gaussian mixture models. The database is publicly released to provide support for algorithm development and common ground for comparison of different techniques.
    Original languageEnglish
    Title of host publication2016 European Signal Processing Conference (EUSIPCO 2016)
    Pages1128-1132
    Number of pages5
    ISBN (Electronic)978-0-9928-6265-7
    Publication statusPublished - 2016
    Publication typeA4 Article in a conference publication
    EventEuropean Signal Processing Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Electronic)2076-1465

    Conference

    ConferenceEuropean Signal Processing Conference
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

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