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eess.AS2022★ 1 cited
Learning ASR pathways: A sparse multilingual ASR model
Mu Yang, Andros Tjandra, Chunxi Liu +3
Neural network pruning compresses automatic speech recognition (ASR) models effectively. However, in multilingual ASR, language-agnostic pruning may lead to severe performance drop…
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…