Abstract
The feed-forward multi-layer neural networks have significant importance in speech recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task. © 2010 Springer-Verlag Berlin Heidelberg.
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APA
Veselý, K., Burget, L., & Grézl, F. (2010). Parallel training of neural networks for speech recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6231 LNAI, pp. 439–446). https://doi.org/10.1007/978-3-642-15760-8_56
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