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…
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…