Title |
|---|
 Macro-block dropout for improved regularization in training end-to-end
speech recognition modelsSpoken Language Technology Workshop (SLT), 2022 |
 A comparison of streaming models and data augmentation methods for
robust speech recognitionAutomatic Speech Recognition & Understanding (ASRU), 2021 |
 Streaming end-to-end speech recognition with jointly trained neural
feature enhancementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 |
 A review of on-device fully neural end-to-end automatic speech
recognition algorithmsAsilomar Conference on Signals, Systems and Computers (Asilomar), 2020 |
 Small energy masking for improved neural network training for end-to-end
speech recognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 |
 end-to-end training of a large vocabulary end-to-end speech recognition
systemAutomatic Speech Recognition & Understanding (ASRU), 2019 |