Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition

8 January 2025

Papers citing "Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition"

5 / 5 papers shown

Title
BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder Yosuke Higuchi Tetsuji Ogawa Tetsunori Kobayashi Shinji Watanabe 41 12 0 02 Nov 2022
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model Yosuke Higuchi Brian Yan Siddhant Arora Tetsuji Ogawa Tetsunori Kobayashi Shinji Watanabe 43 14 0 29 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015