Bayesian neural network language modeling for speech recognition

Bayesian neural network language modeling for speech recognition

State-of-the-art neural network language models (NNLMs) represented by long short term memory recurrent neural networks (LSTM-RNNs) and Transformers are becoming highly complex. They are prone to overfitting and poor generalization when given limited training data. To this end, an overarching full B...

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書目詳細資料
Main Authors:	Xue, Boyang, Hu, Shoukang, Xu, Junhao, Geng, Mengzhe, Liu, Xunying, Meng, Helen
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Bayesian Learning Model Uncertainty
在線閱讀:	https://hdl.handle.net/10356/164438
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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