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Stanley F. Chen

2 accepted papers

2015

Bidirectional recurrent neural network language models for automatic speech recognition

ICASSP 2015accepted

Recurrent neural network language models have enjoyed great success in speech recognition, partially due to their ability to model longer-distance context than word n-gram models. In recurrent neural networks (RNNs), contextual information from past inputs is modeled with the help of recurrent conne…

Cited by 0SourceScholar
2015

Unnormalized exponential and neural network language models

ICASSP 2015accepted

Model M, an exponential class-based language model, and neural network language models (NNLM's) have outperformed word n-gram language models over a wide range of tasks. However, these gains come at the cost of vastly increased computation when calculating word probabilities. For both models, the bu…

Cited by 0SourceScholar