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cs.AI2026
AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach
Zixuan Jiang, Binghao Qiang, Jiaying Chi +3
Automatic speech recognition (ASR) has achieved substantial gains in transcription accuracy, yet verbatim transcription does not necessarily produce readily usable text. It retains…
cs.AI2026
Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation
Zixuan Jiang, Yanqiao Zhu, Peng Wang +8
Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most cur…
cs.AI2024
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario
Zheshu Song, Ziyang Ma, Yifan Yang +2
Large Language Models (LLMs) have showcased exceptional performance across diverse NLP tasks, and their integration with speech encoder is rapidly emerging as a dominant trend in t…