Parallel Training of Neural Networks for Speech Recognition

نویسندگان

  • Karel Veselý
  • Lukás Burget
  • Frantisek Grézl
چکیده

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.

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تاریخ انتشار 2010