activity
20172026
most citedLight Gated Recurrent Units for Speech Recognition

419 citations · 427 across the 12 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2022

A neural prosody encoder for end-ro-end dialogue act classification

Kai Wei, Dillon Knox, Martin Radfar +6

Dialogue act classification (DAC) is a critical task for spoken language understanding in dialogue systems. Prosodic features such as energy and pitch have been shown to be useful…

cs.CL2021

Context-Aware Transformer Transducer for Speech Recognition

Feng-Ju Chang, Jing Liu, Martin Radfar +4

End-to-end (E2E) automatic speech recognition (ASR) systems often have difficulty recognizing uncommon words, that appear infrequently in the training data. One promising method, t…

cs.CL2017

Improving speech recognition by revising gated recurrent units

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1

Speech recognition is largely taking advantage of deep learning, showing that substantial benefits can be obtained by modern Recurrent Neural Networks (RNNs). The most popular RNNs…

cs.CL2017

Batch-normalized joint training for DNN-based distant speech recognition

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1

Improving distant speech recognition is a crucial step towards flexible human-machine interfaces. Current technology, however, still exhibits a lack of robustness, especially when…

cs.CL2017

A network of deep neural networks for distant speech recognition

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1

Despite the remarkable progress recently made in distant speech recognition, state-of-the-art technology still suffers from a lack of robustness, especially when adverse acoustic c…