6 citations · 10 across the 5 of their papers we have counts for
5 papers
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems
Jiajun Deng, Xurong Xie, Tianzi Wang +6
Speaker adaptation techniques provide a powerful solution to customise automatic speech recognition (ASR) systems for individual users. Practical application of unsupervised model-…
Bayesian Neural Network Language Modeling for Speech Recognition
Boyang Xue, Shoukang Hu, Junhao Xu +3
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. Th…
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
Jiajun Deng, Xurong Xie, Tianzi Wang +7
A key challenge for automatic speech recognition (ASR) systems is to model the speaker level variability. In this paper, compact speaker dependent learning hidden unit contribution…
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems
Mingyu Cui, Jiajun Deng, Shoukang Hu +7
Fundamental modelling differences between hybrid and end-to-end (E2E) automatic speech recognition (ASR) systems create large diversity and complementarity among them. This paper i…
Bayesian Transformer Language Models for Speech Recognition
Boyang Xue, Jianwei Yu, Junhao Xu +6
State-of-the-art neural language models (LMs) represented by Transformers are highly complex. Their use of fixed, deterministic parameter estimates fail to account for model uncert…