3 papers
cs.LG2026
Quantization of Spiking Neural Networks Beyond Accuracy
Evan Gibson Smith, Jacob Whitehill, Fatemeh Ganji
Quantization is a natural complement to the sparse, event-driven computation of Spiking Neural Networks, reducing memory bandwidth and arithmetic cost for deployment on resource-co…
cs.CL2025
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.CV2024
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…