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TRAP based features for LVCSR of meeting data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F04%3APU49150" target="_blank" >RIV/00216305:26230/04:PU49150 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    TRAP based features for LVCSR of meeting data

  • Original language description

    This paper describes using temporal patterns (TRAPs) feature extraction in large vocabulary continuous speech recognition (LVCSR) of meeting data. Frequency differentiation and local operators are applied to critical-band speech spectrum. Testsare performed with HMM recognizer on ICSI meetings database. We show that TRAP features in combination with standard ones lead to improvement of word-error rate (WER).

  • Czech name

    Priznaky na bazi TRAP pro LVCSR meetingovych dat

  • Czech description

    Tento clanek popisuje pouziti TRAP priznaku v LVCSR. Differenciace ve spektru a localni operatory jsou applikovany na recove spektrum. Testy jsou provadeny s HMM rozpoznavacem na ICSI meetings databazi. Dokazujeme ze TRAP priznaky v kombinaci se standartnimy priznaky vedou ke zlepseni uspesnosti rozpoznavace.<br>

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP102%2F02%2FD108" target="_blank" >GP102/02/D108: Data-driven and anthropic speech coding and recognition</a><br>

  • Continuities

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

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proc. 8th International Conference on Spoken Language Processing

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    437-440

  • Publisher name

    Sunjin Printing Co,

  • Place of publication

    Jeju Island

  • Event location

    Jeju Island

  • Event date

    Oct 4, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article