28 citations · 52 across the 9 of their papers we have counts for
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cs.CV2021★ 1 cited
A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
Ke-Han Lu, Bo-Han Fang, Kuan-Yu Chen
In this paper, inspired by the successes of visionlanguage pre-trained models and the benefits from training with adversarial attacks, we present a novel transformerbased cross-mod…
cs.CL2021★ 28 cited
Non-autoregressive Transformer-based End-to-end ASR using BERT
Fu-Hao Yu, Kuan-Yu Chen
Transformer-based models have led to significant innovation in classical and practical subjects as varied as speech processing, natural language processing, and computer vision. On…
cs.SD2021★ 2 cited
Speech Recognition by Simply Fine-tuning BERT
Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo +3
We propose a simple method for automatic speech recognition (ASR) by fine-tuning BERT, which is a language model (LM) trained on large-scale unlabeled text data and can generate ri…