"ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers ..."

Martin Radfar et al. (2022)

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DOI: 10.21437/INTERSPEECH.2022-10844

access: open

type: Conference or Workshop Paper

metadata version: 2023-06-21

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  dblp key:
  - conf/interspeech/RadfarBSCSSM22
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  - https://dblp.org/rec/conf/interspeech/RadfarBSCSSM22
Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. INTERSPEECH 2022: 4431-4435

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