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Czech Audio-Visual Speech Corpus for Recognition with Impaired Conditions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F08%3A00503099" target="_blank" >RIV/49777513:23520/08:00503099 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Czech Audio-Visual Speech Corpus for Recognition with Impaired Conditions

  • Original language description

    This is an audio-visual speech database for training and testing of Czech audio-visual continuous speech recognition systems collected with impaired illumination conditions. The corpus consists of about 20 hours of audio-visual records of 50 speakers inlaboratory conditions. Recorded subjects were instructed to remain static. The illumination varied and chunks of each speaker were recorded with several different conditions, such as full illumination, or illumination from one side (left or right) only.These conditions make the database usable for training lip-/head-tracking systems under various illumination conditions independently of the language. Speakers were asked to read 200 sentences each (50 common for all speakers and 150 specific to each speaker). The average total length of recording per speaker was 23 minutes. Acoustic data are stored in wave files using PCM format, sampling frequency 44kHz, resolution 16 bits. Each speaker?s acoustic data set represents about 180 MB of di

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET101470416" target="_blank" >1ET101470416: Multimodal human sign language and speech processing for man-machine communication</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    S0284

  • Technical parameters

    SW produkt obsahuje speciálně zpracované záznamy promluv v českém znakovém jazyce pro potřeby trénování systému automatického rozpoznávání znak. řeči. Pro nabytí licence kontaktujte Valerii Mapell prostřednictvím http://www.elda.org/contact.php?recip=vm

  • Economical parameters

  • Owner IČO

    49777513

  • Owner name

    Katedra kybernetiky, Fakulta aplikovaných věd, Západočeská univerzity v Plzni (distribuováno společností ELRA - European Language Resources Association)