1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2024
Are Transformers in Pre-trained LM A Good ASR Encoder? An Empirical Study
Keyu An, Shiliang Zhang, Zhijie Yan
In this study, we delve into the efficacy of transformers within pre-trained language models (PLMs) when repurposed as encoders for Automatic Speech Recognition (ASR). Our underlyi…
eess.AS2024★ 1 cited
Paraformer-v2: An improved non-autoregressive transformer for noise-robust speech recognition
Keyu An, Zerui Li, Zhifu Gao +1
Attention-based encoder-decoder, e.g. transformer and its variants, generates the output sequence in an autoregressive (AR) manner. Despite its superior performance, AR model is co…