IEEE/ICACT20230152 Slide.01        [Big Slide]       Oral Presentation
ASR & NER problems Pipeline-ASR-NER, noise amplification, ASR quality affects NER quality End-2-end ASR-NER, data is sparse, and the quality is not good enough. The pre-trained language model can help improve the anti-noise capability of the NER, but the ASR and NER quality is still low. Whisper + ASR + NER Whisper , Robust Speech Recognition Whisper + MTL Whisper + MTL + Weak Supervised Data Augment Whisper Experiments Whisper MTL Finetuning with Weak Supvervision Whisper ASR Finetuning Whisper NER Finetuning Whisper Category NER analysis Fine-tuning epoch selection

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