The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

no code implementations • 4 Feb 2022 • Naijun Zheng, Na Li, Xixin Wu, Lingwei Meng, Jiawen Kang, Haibin Wu, Chao Weng, Dan Su, Helen Meng

This paper describes our speaker diarization system submitted to the Multi-channel Multi-party Meeting Transcription (M2MeT) challenge, where Mandarin meeting data were recorded in multi-channel format for diarization and automatic speech recognition (ASR) tasks.

Action Detection Activity Detection +6

Partially Fake Audio Detection by Self-attention-based Fake Span Discovery

no code implementations • 14 Feb 2022 • Haibin Wu, Heng-Cheng Kuo, Naijun Zheng, Kuo-Hsuan Hung, Hung-Yi Lee, Yu Tsao, Hsin-Min Wang, Helen Meng

Also ADD 2022 is the first challenge to propose the partially fake audio detection task.

Open-Ended Question Answering Speech Synthesis +1

MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition

no code implementations • 6 May 2024 • Bingshen Mu, Yangze Li, Qijie Shao, Kun Wei, Xucheng Wan, Naijun Zheng, Huan Zhou, Lei Xie

Accents represent deviations from standard pronunciation norms, and the multi-task learning framework for simultaneous ASR and accent recognition (AR) has effectively addressed the multi-accent scenarios, making it a prominent solution.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4