Automated Structure Discovery and Parameter Tuning of Neural Network Language Model Based on Evolutionary Strategy

    Long short-term memory (LSTM) recurrent neural network based language models are known to improve speech recognition performance. However, significant effort is required to optimize network structures and training configurations. In this study, we automate the development process using evolutionary algorithms. In particular, we apply the covariance matrix… CONTINUE READING