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eess.AS2022
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation
Liyong Guo, Xiaoyu Yang, Quandong Wang +9
Knowledge distillation(KD) is a common approach to improve model performance in automatic speech recognition (ASR), where a student model is trained to imitate the output behaviour…
eess.AS2022
Fast and parallel decoding for transducer
Wei Kang, Liyong Guo, Fangjun Kuang +6
The transducer architecture is becoming increasingly popular in the field of speech recognition, because it is naturally streaming as well as high in accuracy. One of the drawbacks…
eess.AS2022
Pruned RNN-T for fast, memory-efficient ASR training
Fangjun Kuang, Liyong Guo, Wei Kang +4
The RNN-Transducer (RNN-T) framework for speech recognition has been growing in popularity, particularly for deployed real-time ASR systems, because it combines high accuracy with…