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20222025
most citedAdaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

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

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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.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…

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…

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…