Článek ve sborníku konference | |
| Veselý, K., Burget, L., Grézl, F.: Parallel Training of Neural Networks for Speech Recognition, In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010), Makuhari, Chiba, JP, ISCA, 2010, s. 2934-2937, ISSN 1990-9772 | | Jazyk publikace: | angličtina |
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| Název publikace: | Parallel Training of Neural Networks for Speech Recognition |
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| Název (cs): | Paralelní trénování neuronových sítí pro rozpoznávání řeči |
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| Strany: | 2934-2937 |
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| Sborník: | Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010) |
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| Konference: | Interspeech 2010 |
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| Místo vydání: | Makuhari, Chiba, JP |
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| Rok: | 2010 |
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| Časopis: | Proceedings of Interspeech, roč. 2010, č. 9, FR |
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| ISSN: | 1990-9772 |
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| Vydavatel: | International Speech Communication Association |
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| URL: | http://www.fit.vutbr.cz/research/groups/speech/publi/2010/vesely_interspeech2010_IS100045.pdf [PDF] |
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| Klíčová slova |
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| Artificial Neural Network, GPU, CUDA, Phoneme Classification, Fast Training |
| Anotace |
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| Článek pojednává o paralelním trénování neuronových sítí pro rozpoznávání řeči, založeném na ANN trénikovém postupu. |
| Abstrakt |
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| In this paper we describe parallel implementation of ANN training procedure based on block mode back-propagation learning algorithm. Two different approaches to parallelization were implemented. The first is data parallelization using POSIX threads, it is suitable for multi-core computers. The second is node parallelization using high performance SIMD architecture of GPU with CUDA, suitable for CUDA enabled computers. We compare the speed-up of both approaches by learning typically-sized network on the real-world phoneme-state classification task, showing nearly 10 times reduction when using CUDA version, while the 8-core server with multi-thread version gives only 4 times reduction. In both cases we compared to an already BLAS optimized implementation. The training tool will be released as Open-Source software under project name TNet. |
| BibTeX: |
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@INPROCEEDINGS{
author = {Karel Veselý and Lukáš Burget and František Grézl},
title = {Parallel Training of Neural Networks for Speech Recognition},
pages = {2934--2937},
booktitle = {Proceedings of the 11th Annual Conference of the
International Speech Communication Association (INTERSPEECH
2010)},
journal = {Proceedings of Interspeech},
volume = {2010},
number = {9},
year = {2010},
location = {Makuhari, Chiba, JP},
publisher = {International Speech Communication Association},
ISSN = {1990-9772},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9364}
} |
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