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

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2025

The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in MLC-SLM 2025 Challenge

Hongfei Xue, Kaixun Huang, Zhikai Zhou +2

This paper presents the TEA-ASLP's system submitted to the MLC-SLM 2025 Challenge, addressing multilingual conversational automatic speech recognition (ASR) in Task I and speech di…

cs.SD2025

Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation

Zhennan Lin, Kaixun Huang, Wei Ren +2

Deep biasing improves automatic speech recognition (ASR) performance by incorporating contextual phrases. However, most existing methods enhance subwords in a contextual phrase as…

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…

eess.AS2023

U2-KWS: Unified Two-pass Open-vocabulary Keyword Spotting with Keyword Bias

Ao Zhang, Pan Zhou, Kaixun Huang +3

Open-vocabulary keyword spotting (KWS), which allows users to customize keywords, has attracted increasingly more interest. However, existing methods based on acoustic models and p…

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.CL2023

SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition

Hongfei Xue, Qijie Shao, Kaixun Huang +3

Multilingual automatic speech recognition (ASR) systems have garnered attention for their potential to extend language coverage globally. While self-supervised learning (SSL) model…

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★ 1 cited

The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results

Ao Zhang, Fan Yu, Kaixun Huang +7

This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce…