350 citations · 652 across the 49 of their papers we have counts for
5 papers · 1 filter
Attention Forcing for Sequence-to-sequence Model Training
Qingyun Dou, Yiting Lu, Joshua Efiong +1
Auto-regressive sequence-to-sequence models with attention mechanism have achieved state-of-the-art performance in many tasks such as machine translation and speech synthesis. Thes…
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks
Alexandros Kastanos, Anton Ragni, Mark Gales
Recently, there has been growth in providers of speech transcription services enabling others to leverage technology they would not normally be able to use. As a result, speech-ena…
Non-native Speaker Verification for Spoken Language Assessment
Linlin Wang, Yu Wang, Mark J. F. Gales
Automatic spoken language assessment systems are becoming more popular in order to handle increasing interests in second language learning. One challenge for these systems is to de…
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Andrey Malinin, Mark Gales
Ensemble approaches for uncertainty estimation have recently been applied to the tasks of misclassification detection, out-of-distribution input detection and adversarial attack de…
Ensemble Distribution Distillation
Andrey Malinin, Bruno Mlodozeniec, Mark Gales
Ensembles of models often yield improvements in system performance. These ensemble approaches have also been empirically shown to yield robust measures of uncertainty, and are capa…