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On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922933" target="_blank" >RIV/49777513:23520/14:43922933 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_39.pdf" target="_blank" >http://link.springer.com/content/pdf/10.1007%2F978-3-319-11581-8_39.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-11581-8_39" target="_blank" >10.1007/978-3-319-11581-8_39</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model

  • Original language description

    In this paper, we present a new NN/HMM speech recognition system with a NN-base acoustic model and RNN-based language model. The employed neural-network-based acoustic model computes posteriors for states of context-dependent acoustic units. A recurrentneural network with the maximum entropy extension was used as a language model. This hybrid NN/HMM system was compared with our previous hybrid NN/HMM system equipped with a standard n-gram language model. In our experiments, we also compared it to a standard GMM/HMM system. The system performance was evaluated on the British English speech corpus and compared with some previous work.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/DF12P01OVV022" target="_blank" >DF12P01OVV022: ASR- and MT-based Access to a Large Archive of Cultural Heritage (AMALACH)</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Speech and Computer, 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014, Proceedings

  • ISBN

    978-3-319-11580-1

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    315-321

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Novi Sad, Serbia

  • Event date

    Oct 5, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article