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Attention-Based Asr With Lightweight And Dynamic Convolutions
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Attention-Based Asr With Lightweight And Dynamic Convolutions
End-to-end (E2E) automatic speech recognition (ASR) with sequence- to-sequence models has gained attention because of its simple model training compared with conventional hidden Markov model based ASR. Recently, several studies report the state-of-the-art
End-to-end (E2E) automatic speech recognition (ASR) with sequence- to-sequence models has gained attention because of its simple model training compared with conventional hidden Markov model based ASR. Recently, several studies report the state-of-the-art
