Metrics for polyphonic sound event detection

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    202 Sitaatiot (Scopus)
    1185 Lataukset (Pure)

    Abstrakti

    This paper presents and discusses various metrics proposed for evaluation of polyphonic sound event detection systems used in realistic situations where there are typically multiple sound sources active simultaneously. The system output in this case contains overlapping events, marked as multiple sounds detected as being active at the same time. The polyphonic system output requires a suitable procedure for evaluation against a reference. Metrics from neighboring fields such as speech recognition and speaker diarization can be used, but they need to be partially redefined to deal with the overlapping events. We present a review of the most common metrics in the field and the way they are adapted and interpreted in the polyphonic case. We discuss segment-based and event-based definitions of each metric and explain the consequences of instance-based and class-based averaging using a case study. In parallel, we provide a toolbox containing implementations of presented metrics.

    AlkuperäiskieliEnglanti
    Artikkeli162
    JulkaisuApplied Sciences
    Vuosikerta6
    Numero6
    DOI - pysyväislinkit
    TilaJulkaistu - 2016
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Fluid Flow and Transfer Processes
    • Process Chemistry and Technology
    • Computer Science Applications
    • Yleinen tekniikka
    • Yleinen materiaalitiede
    • Instrumentation

    Sormenjälki

    Sukella tutkimusaiheisiin 'Metrics for polyphonic sound event detection'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

    Siteeraa tätä