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A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134977" target="_blank" >RIV/00216305:26230/19:PU134977 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/12153/" target="_blank" >https://www.fit.vut.cz/research/publication/12153/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ASRU46091.2019.9003882" target="_blank" >10.1109/ASRU46091.2019.9003882</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database

  • Original language description

    DeepMine is a speech database in Persian and English designed to build and evaluate text-dependent, text-prompted, and textindependent speaker verification, as well as Persian speech recognition systems. It contains more than 1850 speakers and 540 thousand recordings overall, more than 480 hours of speech are transcribed. It is the first public large-scale speaker verification database in Persian, the largest public text-dependent and text-prompted speaker verification database in English, and the largest public evaluation dataset for text-independent speaker verification. It has a good coverage of age, gender, and accents. We provide several evaluation protocols for each part of the database to allow for research on different aspects of speaker verification. We also provide the results of several experiments that can be considered as baselines: HMM-based i-vectors for text-dependent speaker verification, and HMM-based as well as state-of-the-art deep neural network based ASR. We demonstrate that the database can serve for training robust ASR models.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU)

  • ISBN

    978-1-7281-0306-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    397-402

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Sentosa, Singapore

  • Event location

    Automatic Speech Recognition and Understanding W

  • Event date

    Nov 13, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000539883100053