3 papers
cs.CL2026
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…
cs.SD2025
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…
cs.CV2025
Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?
Yiwen Guan, Viet Anh Trinh, Vivek Voleti +1
Decoder-only discrete-token language models have recently achieved significant success in automatic speech recognition. However, systematic analyses of how different modalities imp…