A Likelihood Ratio based Domain Adaptation Method for E2E Models

10 January 2022

Papers citing "A Likelihood Ratio based Domain Adaptation Method for E2E Models"

6 / 6 papers shown

Title
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text Recognition Chan-Jan Hsu Yi-Chang Chen Feng-Ting Liao Pei-Chen Ho Yu-Hsiang Wang Po-Chun Hsu Da-shan Shiu 31 2 0 23 May 2024
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition Yu Yu Chao-Han Huck Yang J. Kolehmainen Prashanth Gurunath Shivakumar Yile Gu ... Denis Filimonov Shalini Ghosh A. Stolcke Ariya Rastrow I. Bulyko 31 8 0 26 Sep 2023
Decoupled Structure for Improved Adaptability of End-to-End Models Keqi Deng P. Woodland AuLLM 27 2 0 25 Aug 2023
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation Nilaksh Das Monica Sunkara S. Bodapati Jason (Jinglun) Cai Devang Kulshreshtha Jeffrey J. Farris Katrin Kirchhoff 26 2 0 05 May 2023
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax Keqi Deng P. Woodland AuLLM KELM 29 11 0 16 Feb 2023
Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation Rao Ma Xiaobo Wu Jin Qiu Yanan Qin Haihua Xu Peihao Wu Zejun Ma 27 2 0 02 Nov 2022