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Optimization of the Gaussian Mixture Model Evaluation on GPU

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898500" target="_blank" >RIV/49777513:23520/11:43898500 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of the Gaussian Mixture Model Evaluation on GPU

  • Original language description

    In this paper we present a highly optimized implementation of Gaussian mixture acoustic model evaluation algorithm. Evaluation of these likelihoods is one of the~most computationally intensive parts of automatics speech recognizers but it can be well-parallelized and offloaded to GPU devices. Our approach offers significant speed-up compared to the recently published approaches, since it exploits the GPU architecture better. All the recent implementations were programmed either in CUDA or OpenCL GPU programming frameworks. We present results for both; CUDA as well as OpenCL. Results suggest that even very large acoustic models can be utilized in real-time speech recognition engines on computers and laptops equipped with a low-end GPU. Optimization of acoustic likelihoods computation on GPU enables to use the remaining GPU resources for offloading of other compute-intensive parts of LVCSR decoder.

  • 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

    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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    12th Annual Conference of the International Speech Communication Association 2011 (INTERSPEECH 2011)

  • ISBN

    978-1-61839-270-1

  • ISSN

    1990-9772

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1748-1751

  • Publisher name

    Curran Associates, Inc.

  • Place of publication

    Red Hook, NY 12571, USA

  • Event location

    Florencie, Itálie

  • Event date

    Aug 28, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article