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Analysis and interpretation of joint source separation and sound event detection in domestic environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU156206" target="_blank" >RIV/00216305:26230/24:PU156206 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303994" target="_blank" >https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303994</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pone.0303994" target="_blank" >10.1371/journal.pone.0303994</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis and interpretation of joint source separation and sound event detection in domestic environments

  • Original language description

    In recent years, the relation between Sound Event Detection (SED) and Source Separation (SSep) has received a growing interest, in particular, with the aim to enhance the performance of SED by leveraging the synergies between both tasks. In this paper, we present a detailed description of JSS (Joint Source Separation and Sound Event Detection), our joint-training scheme for SSep and SED, and we measure its performance in the DCASE Challenge for SED in domestic environments. Our experiments demonstrate that JSS can improve SED performance, in terms of Polyphonic Sound Detection Score (PSDS), even without additional training data. Additionally, we conduct a thorough analysis of JSS's effectiveness across different event classes and in scenarios with severe event overlap, where it is expected to yield further improvements. Furthermore, we introduce an objective measure to assess the diversity of event predictions across the estimated sources, shedding light on how different training strategies impact the separation of sound events. Finally, we provide graphical examples of the Source Separation and Sound Event Detection steps, aiming to facilitate the interpretation of the JSS methods.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PLOS ONE

  • ISSN

    1932-6203

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    30

  • Pages from-to

    1-30

  • UT code for WoS article

    001264900000106

  • EID of the result in the Scopus database

    2-s2.0-85197797297