activity
20222025
most citedAdaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SD2025★ 1 cited

OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

Xuelong Geng, Kun Wei, Qijie Shao +18

Large Language Models (LLMs) have made significant progress in various downstream tasks, inspiring the development of Speech Understanding Language Models (SULMs) to enable compreh…

cs.CL2024

Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper

Tianyi Xu, Kaixun Huang, Pengcheng Guo +4

Pre-trained multilingual speech foundation models, like Whisper, have shown impressive performance across different languages. However, adapting these models to new or specific lan…

cs.SD2024

Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets

Xuelong Geng, Tianyi Xu, Kun Wei +9

Large Language Models (LLMs) have demonstrated unparalleled effectiveness in various NLP tasks, and integrating LLMs with automatic speech recognition (ASR) is becoming a mainstrea…

eess.AS2023

Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition

Kaixun Huang, Ao Zhang, Binbin Zhang +3

The attention-based deep contextual biasing method has been demonstrated to effectively improve the recognition performance of end-to-end automatic speech recognition (ASR) systems…

cs.SD2023

MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth Information

Jianrong Wang, Yuchen Huo, Li Liu +3

Audio-visual speech recognition (AVSR) gains increasing attention from researchers as an important part of human-computer interaction. However, the existing available Mandarin audi…

cs.SD2023★ 1 cited

Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

Tianyi Xu, Zhanheng Yang, Kaixun Huang +6

By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world…

eess.AS2023

Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network

Kaixun Huang, Ao Zhang, Zhanheng Yang +4

Contextual information plays a crucial role in speech recognition technologies and incorporating it into the end-to-end speech recognition models has drawn immense interest recentl…

cs.SD2022

The NPU-ASLP System for The ISCSLP 2022 Magichub Code-Swiching ASR Challenge

Yuhao Liang, Peikun Chen, Fan Yu +3

This paper describes our NPU-ASLP system submitted to the ISCSLP 2022 Magichub Code-Switching ASR Challenge. In this challenge, we first explore several popular end-to-end ASR arch…