10 citations · 10 across the 2 of their papers we have counts for
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eess.AS2023★ 10 cited
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms
Philipp Schilk, Niccolò Polvani, Andrea Ronco +2
The recent ubiquitous adoption of remote conferencing has been accompanied by omnipresent frustration with distorted or otherwise unclear voice communication. Audio enhancement can…
eess.AS2022
BC-VAD: A Robust Bone Conduction Voice Activity Detection
Niccolo' Polvani, Damien Ronssin, Milos Cernak
Voice Activity Detection (VAD) is a fundamental module in many audio applications. Recent state-of-the-art VAD systems are often based on neural networks, but they require a comput…