• DOI:10.1109/ASRU.2017.8268923
Corpus ID: 29090409

Future vector enhanced LSTM language model for LVCSR

@article{Liu2017FutureVE,
  title={Future vector enhanced LSTM language model for LVCSR},
  author={Qi Liu and Yanmin Qian and Kai Yu},
  journal={2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
  year={2017},
  pages={104-110}
}

Qi Liu, Yanmin Qian, Kai Yu

Published 2017

Computer Science, Engineering

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Language models (LM) play an important role in large vocabulary continuous speech recognition (LVCSR. [...] Key Method In addition to the given history, the rest of the sequence will be also embedded by future vectors. This future vector can be incorporated with the LSTM LM, so it has the ability to model much longer term sequence level information. Experiments show that, the proposed new LSTM LM gets a better result on BLEU scores for long term sequence prediction. For the speech recognition rescoring…Expand Abstract

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