11 citations · 44 across the 18 of their papers we have counts for
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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…
stat.ML2021★ 3 cited
Model-Based Approach for Measuring the Fairness in ASR
Zhe Liu, Irina-Elena Veliche, Fuchun Peng
The issue of fairness arises when the automatic speech recognition (ASR) systems do not perform equally well for all subgroups of the population. In any fairness measurement studie…
eess.AS2021★ 1 cited
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models
Xiaohui Zhang, Vimal Manohar, David Zhang +7
Hybrid automatic speech recognition (ASR) models are typically sequentially trained with CTC or LF-MMI criteria. However, they have vastly different legacies and are usually implem…