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Multimodal Name Recognition in Live TV Subtitling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952588" target="_blank" >RIV/49777513:23520/18:43952588 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1748.html" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1748.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2018-1748" target="_blank" >10.21437/Interspeech.2018-1748</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multimodal Name Recognition in Live TV Subtitling

  • Original language description

    In this paper, we present a method of combining a visual text reader with a system of automatic speech recognition to suppress errors when encountering out-of-vocabulary words – specifically names. The visual text reader outputs detected words that are mapped into a large list of names via the Levenshtein distance. The detected names are inserted into the class-based language model on the fly which improves recognition results. To demonstrate the effect on the real speech recognition task we use data from sports TV broadcasting where a lot of names are present in both the audio and video streams. We superseded manual vocabulary editing in live TV subtitling through re-speaking by an automated online process. Further, we show that automatically adding the names to the recognition vocabulary online and with forgetting lowers the WER relatively by 39 % in comparison with the case when names of all sportsmen are added to the vocabulary beforehand and by 15 % when only the relevant names are added beforehand.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 19th Annual Conference of the International Speech Communication Association (Interspeech 2018)

  • ISBN

    978-1-5108-7221-9

  • ISSN

    2308-457X

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    3529-3532

  • Publisher name

    Curran Associates, Inc.

  • Place of publication

    Red Hook, NY

  • Event location

    Hyderabad, Indie

  • Event date

    Sep 2, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article