Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model

14 December 2021

Papers citing "Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model"

7 / 7 papers shown

Title
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM Eliya Nachmani Alon Levkovitch Roy Hirsch Julián Salazar Chulayutsh Asawaroengchai Soroosh Mariooryad Ehud Rivlin RJ Skerry-Ryan Michelle Tadmor Ramanovich AuLLM 28 31 0 24 May 2023
A context-aware knowledge transferring strategy for CTC-based ASR Keda Lu Kuan-Yu Chen 15 14 0 12 Oct 2022
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies Zehan Li Haoran Miao Keqi Deng Gaofeng Cheng Sanli Tian Ta Li Yonghong Yan KELM 27 4 0 06 Jul 2022
Improving Deliberation by Text-Only and Semi-Supervised Training Ke Hu Tara N. Sainath Yanzhang He Rohit Prabhavalkar Trevor Strohman S. Mavandadi Weiran Wang 34 12 0 29 Jun 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition Ye Du Jie Zhang Qiu-shi Zhu Lirong Dai Ming Wu Xin Fang Zhouwang Yang 34 2 0 05 Apr 2022
Enhancing Speech Recognition Decoding via Layer Aggregation Tomer Wullach Shlomo E. Chazan 29 1 0 21 Mar 2022
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition Cheng Yi Shiyu Zhou Bo Xu 51 40 0 17 Jan 2021