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eess.AS2022
Adaptive Multi-Corpora Language Model Training for Speech Recognition
Yingyi Ma, Zhe Liu, Xuedong Zhang
Neural network language model (NNLM) plays an essential role in automatic speech recognition (ASR) systems, especially in adaptation tasks when text-only data is available. In prac…
eess.AS2022
Modeling Dependent Structure for Utterances in ASR Evaluation
Zhe Liu, Fuchun Peng
The bootstrap resampling method has been popular for performing significance analysis on word error rate (WER) in automatic speech recognition (ASR) evaluation. To deal with depend…
eess.AS2021★ 4 cited
Private Language Model Adaptation for Speech Recognition
Zhe Liu, Ke Li, Shreyan Bakshi +1
Speech model adaptation is crucial to handle the discrepancy between server-side proxy training data and actual data received on local devices of users. With the use of federated l…