@article{JCSCE, author = {Ta Bao Thang and Dang Dinh Son and Le Dang Linh and Dang Xuan Vuong and Duong Quang Tien}, title = { ASR - VLSP 2021: Automatic Speech Recognition with Blank Label Re-weighting}, journal = {VNU Journal of Science: Computer Science and Communication Engineering}, volume = {38}, number = {1}, year = {2022}, keywords = {}, abstract = {End-to-end models have significant potential in most languages and recently proved the robustness in ASR tasks. Many robust architectures are proposed, and among many techniques, Recurrent Neural Network - Transducer (RNN-T) shows remarkable success. However, with background noise or reverb in spontaneous speech, this architecture generally suffers from high deletion error problems. For this reason, we propose the blank label re-weighting technique to improve the state-of-the-art Conformer transducer model. Our proposed system adopts the Stochastic Weight Averaging approach, stabilizing the training process. Our work achieved the first rank with a 4.17% of word error rate in Task 2 of the VLSP 2021 Competition.  }, issn = {2588-1086}, doi = {10.25073/2588-1086/vnucsce.321}, url = {//jcsce.vnu.edu.vn/index.php/jcsce/article/view/321} }