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Interactive In-Meeting Speaker Correction with Human Feedback
Xinlu He, Yiwen Guan, Badrivishal Paurana +3
Most automatic speech processing systems operate in ``open loop'' mode without user feedback about who said what, yet human-in-the-loop workflows can potentially enable higher accu…
Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context
Viet Anh Trinh, Xinlu He, Jacob Whitehill
Classroom speech and lectures often contain named entities (NEs) such as names of people and special terminology. While automatic speech recognition (ASR) systems have achieved rem…
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio
Xinlu He, Jacob Whitehill
Monaural multi-speaker automatic speech recognition (ASR) remains challenging due to data scarcity and the intrinsic difficulty of recognizing and attributing words to individual s…
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing
Viet Anh Trinh, Rosy Southwell, Yiwen Guan +3
Recent work on discrete speech tokenization has paved the way for models that can seamlessly perform multiple tasks across modalities, e.g., speech recognition, text to speech, spe…