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Naijun Zheng

8 papers hereh-index 342 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • cs.SD3
  • cs.CL1
same name
  • Naijun Zheng — 2 papers, h 5
  • Naijun Zheng — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2026

TurnFSM for Full-Duplex Dialogue System: Internalizing State-Machine Logic for Streaming Semantic Voice Activity Detection and Utterance-Level Rejection

Zhiwei Lin, Tianjiao Du, Qiaochu Huang +6

Full-duplex voice assistants must continuously listen while speaking, handling user interruptions under low-latency and resource-constrained streaming conditions. Existing end-to-e…

eess.AS2026

Balancing ASR and diarization in end-to-end LLMs for multi-talker speech recognition

Naijun Zheng, Yuke Lin, Sanli Tian +4

Multi-talker speech recognition is often addressed by combining automatic speech recognition (ASR) and speaker diarization in a pipeline system. Recently, LLM-based approaches have…

eess.AS2025

SCDiar: a streaming diarization system based on speaker change detection and speech recognition

Naijun Zheng, Xucheng Wan, Kai Liu +1

In hours-long meeting scenarios, real-time speech stream often struggles with achieving accurate speaker diarization, commonly leading to speaker identification and speaker count e…

eess.AS2024

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

Bingshen Mu, Yangze Li, Qijie Shao +5

Despite notable advancements in automatic speech recognition (ASR), performance tends to degrade when faced with adverse conditions. Generative error correction (GER) leverages the…

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