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Multisv: Dataset for Far-Field Multi-Channel Speaker Verification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144908" target="_blank" >RIV/00216305:26230/22:PU144908 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9746833" target="_blank" >https://ieeexplore.ieee.org/document/9746833</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP43922.2022.9746833" target="_blank" >10.1109/ICASSP43922.2022.9746833</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multisv: Dataset for Far-Field Multi-Channel Speaker Verification

  • Original language description

    Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive corpus designed for training and evaluating text-independent multi-channel speaker verification systems. It can be readily used also for experiments with dereverberation, denoising, and speech enhancement. We tackled the ever-present problem of the lack of multi-channel training data by utilizing data simulation on top of clean parts of the Voxceleb corpus. The development and evaluation trials are based on a retransmitted Voices Obscured in Complex Environmental Settings (VOiCES) corpus, which we modified to provide multi-channel trials. We publish full recipes that create the dataset from public sources as the MultiSV dataset, and we provide results with two of our multi-channel speaker verification systems with neural network-based beamforming based either on predicting ideal binary masks or the more recent Conv-TasNet.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  • ISBN

    978-1-6654-0540-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    7977-7981

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Singapore

  • Event location

    Singapore

  • Event date

    May 22, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000864187908057