Optimized Acoustic Likelihoods Computation for NVIDIA and ATI/AMD Graphics Processors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43921648" target="_blank" >RIV/49777513:23520/12:43921648 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6169951" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6169951</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASL.2012.2190928" target="_blank" >10.1109/TASL.2012.2190928</a>
Alternative languages
Result language
angličtina
Original language name
Optimized Acoustic Likelihoods Computation for NVIDIA and ATI/AMD Graphics Processors
Original language description
In this paper, we describe an optimized version of a Gaussian-mixture-based acoustic model likelihood evaluation algorithm for graphical processing units (GPUs). The evaluation of these likelihoods is one of the most computationally intensive parts of automatic speech recognizers, but it can be parallelized and offloaded to GPU devices. Our approach offers a significant speed-up over the recently published approaches, because it utilizes the GPU architecture in a more effective manner. All the recent implementations have been intended only for NVIDIA graphics processors, programmed either in CUDA or OpenCL GPU programming frameworks. We present results for both CUDA and OpenCL. Further, we have developed an OpenCL implementation optimized for ATI/AMD GPUs. Results suggest that even very large acoustic models can be used in real-time speech recognition engines on computers equipped with a low-end GPU or laptops. In addition, the completely asynchronous GPU management provides additional
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
ISSN
1558-7916
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1818-1828
UT code for WoS article
000302742400001
EID of the result in the Scopus database
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