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Auxiliary Function-Based Algorithm for Blind Extraction of a Moving Speaker

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00009081" target="_blank" >RIV/46747885:24220/22:00009081 - isvavai.cz</a>

  • Result on the web

    <a href="https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00231-6.pdf" target="_blank" >https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00231-6.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13636-021-00231-6" target="_blank" >10.1186/s13636-021-00231-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Auxiliary Function-Based Algorithm for Blind Extraction of a Moving Speaker

  • Original language description

    We propose a novel algorithm for Blind Source Extraction (BSE) of a moving acoustic source recorded by multiple microphones. The algorithm is based on Independent Vector Extraction (IVE) where the contrast function is optimized using the auxiliary function-based technique. The recently proposed Constant Separating Vector (CSV) mixing model is assumed, which allows for movements of the extracted source within the analyzed batch of recordings. We provide a practical explanation of how the CSV model works when extracting a moving acoustic source. Then, the proposed algorithm is experimentally verified on the task of blind extraction of a moving speaker. The algorithm is compared with state-of-the-art blind methods and with an adaptive BSE algorithm which processes data in a sequential manner. The results confirm that the proposed algorithm can extract the moving speaker better than the BSE methods based on the conventional mixing model and that it achieves improved extraction accuracy than the adaptive method.

  • 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

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING

  • ISSN

    1687-4722

  • e-ISSN

  • Volume of the periodical

    2022

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    16

  • Pages from-to

  • UT code for WoS article

    000738591200001

  • EID of the result in the Scopus database

    2-s2.0-85122295670