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Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-Resource Speech Recognition

IEEE SIGNAL PROCESSING LETTERS(2021)

Cited 41|Views18
Key words
Acoustics,Bit error rate,Linguistics,Task analysis,Training,Decoding,Data models,BERT,end-to-end modeling,low-resource ASR,pre-training,wav2vec
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