3 accepted papers
Neural acoustic fields often model time-domain impulse responses, which struggle to capture the frequency-selective wave behaviors that dominate confined, resonant environments. To address this, we propose INFER (Implicit Neural Frequency Response fields), a framework that directly learns continuous…
Integrating spatial context into large language models (LLMs) has the potential to revolutionize human-computer interaction, particularly in wearable devices. In this work, we present a novel system architecture that incorporates spatial speech understanding into LLMs, enabling contextually aware an…
Estimation of a speaker’s direction and head orientation with binaural recordings can be a critical piece of information in many real-world applications with emerging ‘earable’ devices, including smart headphones and AR/VR headsets. However, it requires predicting the mutual head orientations of bot…