activity
20202026
most citedSelf-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing 2026 · cs.SDShow all

1 paper · 2 filters

cs.SD2026

Transformer-based Neural Beamforming for Real-Time Speech Enhancement on Smart Low-Power Hearable Devices

Luca Bompani, Marco Fariselli, Giovanni Oltrecolli +1

Accurate, efficient, and low-latency spatial beamforming is a key component in emerging smart hearable devices, enhancing speech while suppressing noise and interference. However,…