When labeled data is insufficient, semi-supervised learning with the
pse...
Selecting application scenarios matching data is important for the autom...
Code-switching automatic speech recognition becomes one of the most
chal...
There is often a trade-off between performance and latency in streaming
...
The cross-domain performance of automatic speech recognition (ASR) could...
Automatic speech recognition (ASR) with federated learning (FL) makes it...
Recently, end-to-end automatic speech recognition models based on
connec...
While Transformers have achieved promising results in end-to-end (E2E)
a...
Self-supervised acoustic pre-training has achieved amazing results on th...
Self-supervised pre-training has dramatically improved the performance o...
Massive machine type communication (mMTC) has been identified as an impo...
Recently, Transformer has gained success in automatic speech recognition...
Utterance-level permutation invariant training (uPIT) has achieved promi...