Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models

12 April 2021

Papers citing "Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models"

8 / 8 papers shown

Title
SegAug: CTC-Aligned Segmented Augmentation For Robust RNN-Transducer Based Speech Recognition Khanh Le Tuan Vu Ho Dung Tran Duc Thanh Chau 54 0 0 20 Feb 2025
ASR Error Correction using Large Language Models Rao Ma Mengjie Qian Mark J. F. Gales Kate Knill KELM 46 1 0 14 Sep 2024
Improving Language Model Integration for Neural Machine Translation Christian Herold Yingbo Gao Mohammad Zeineldeen Hermann Ney 15 2 0 08 Jun 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
Monotonic segmental attention for automatic speech recognition Albert Zeyer Robin Schmitt Wei Zhou Ralf Schluter Hermann Ney 16 8 0 26 Oct 2022
Efficient Sequence Training of Attention Models using Approximative Recombination Nils-Philipp Wynands Wilfried Michel Jan Rosendahl Ralf Schluter Hermann Ney 11 3 0 18 Oct 2021
On Language Model Integration for RNN Transducer based Speech Recognition Wei Zhou Zuoyun Zheng Ralf Schluter Hermann Ney 29 22 0 13 Oct 2021
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures Nick Rossenbach Mohammad Zeineldeen Benedikt Hilmes Ralf Schluter Hermann Ney 28 12 0 12 Apr 2021