Improving non-autoregressive end-to-end speech recognition with
pre-trained acoustic and language models

Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models

25 January 2022

Shinji Watanabe

Pengyuan Zhang

Papers citing "Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models"

5 / 5 papers shown

Title
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models Takanori Ashihara Takafumi Moriya Kohei Matsuura Tomohiro Tanaka 25 3 0 09 May 2023
A context-aware knowledge transferring strategy for CTC-based ASR Keda Lu Kuan-Yu Chen 15 14 0 12 Oct 2022
Knowledge Transfer and Distillation from Autoregressive to Non-Autoregressive Speech Recognition Xun Gong Zhikai Zhou Y. Qian 17 3 0 15 Jul 2022
Speech Recognition by Simply Fine-tuning BERT Wen-Chin Huang Chia-Hua Wu Shang-Bao Luo Kuan-Yu Chen Hsin-Min Wang T. Toda 70 28 0 30 Jan 2021
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition Cheng Yi Shiyu Zhou Bo Xu 49 40 0 17 Jan 2021