13 citations · 22 across the 6 of their papers we have counts for
6 papers
Uni-ASR: Unified LLM-Based Architecture for Non-Streaming and Streaming Automatic Speech Recognition
Yinfeng Xia, Jian Tang, Junfeng Hou +2
Although the deep integration of the Automatic Speech Recognition (ASR) system with Large Language Models (LLMs) has significantly improved accuracy, the deployment of such systems…
Contextual Biasing for LLM-Based ASR with Hotword Retrieval and Reinforcement Learning
YuXiang Kong, JunFeng Hou, Jian Tang +3
Large language model (LLM)-based automatic speech recognition (ASR) has recently achieved strong performance across diverse tasks, yet contextual biasing for named entities and hot…
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition
Junfeng Hou, Peiyao Wang, Jincheng Zhang +3
Deploying end-to-end speech recognition models with limited computing resources remains challenging, despite their impressive performance. Given the gradual increase in model size…
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
Lu Huang, Jingyu Sun, Yufeng Tang +4
This work describes an encoder pre-training procedure using frame-wise label to improve the training of streaming recurrent neural network transducer (RNN-T) model. Streaming RNN-T…
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition
Liangfa Wei, Jie Zhang, Junfeng Hou +1
Audio-visual information fusion enables a performance improvement in speech recognition performed in complex acoustic scenarios, e.g., noisy environments. It is required to explore…
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models
Shiliang Zhang, Hui Jiang, Mingbin Xu +2
In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size r…