Recently, end-to-end models have been widely used in automatic speech
re...
Masked language model (MLM) has been widely used for understanding tasks...
Self-supervised learning (SSL) in the pretraining stage using un-annotat...
Children's automatic speech recognition (ASR) is always difficult due to...
This paper proposes a novel linear prediction coding-based data aug-ment...
This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge...
Non-autoregressive mechanisms can significantly decrease inference time ...
Automatic speech recognition (ASR) systems for young children are needed...
We present a bidirectional unsupervised model pre-training (UPT) method ...
We propose a CTC alignment-based single step non-autoregressive transfor...
In this paper, we propose a novel way of addressing text-dependent autom...
Transformer showed promising results in many sequence to sequence
transf...
Attention-based end-to-end (E2E) speech recognition models such as Liste...