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cs.CL2022
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems
Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata +2
Large-scale language models (LLMs) such as GPT-2, BERT and RoBERTa have been successfully applied to ASR N-best rescoring. However, whether or how they can benefit competitive, nea…
cs.CL2022
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing
Xiaodong Cui, George Saon, Tohru Nagano +4
We introduce two techniques, length perturbation and n-best based label smoothing, to improve generalization of deep neural network (DNN) acoustic models for automatic speech recog…