1 citations · 1 across the 9 of their papers we have counts for
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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…
Transformer-Encoder Trees for Efficient Multilingual Machine Translation and Speech Translation
Yiwen Guan, Jacob Whitehill
Multilingual translation suffers from computational redundancy, especially when translating into multiple languages simultaneously. In addition, translation quality can suffer for…
MLLM-based Speech Recognition: When and How is Multimodality Beneficial?
Yiwen Guan, Viet Anh Trinh, Vivek Voleti +1
Recent advances in multi-modal large language models (MLLMs) have opened new possibilities for unified modeling of speech, text, images, and other modalities. Building on our prior…
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…