29 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
StylusPort: Investigating Teleportation using Stylus in VR
Yang Liu, Qiushi Zhou, Mathias N Lystbæk +4
With a stylus, users can both sweep sketches across models and pinpoint locations with precision. Building on this dual capability, we explore how teleportation can be integrated i…
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…
A Universal Deep Room Acoustics Estimator
Paula Sánchez López, Paul Callens, Milos Cernak
Speech audio quality is subject to degradation caused by an acoustic environment and isotropic ambient and point noises. The environment can lead to decreased speech intelligibilit…
FastVC: Fast Voice Conversion with non-parallel data
Oriol Barbany Mayor, Milos Cernak
This paper introduces FastVC, an end-to-end model for fast Voice Conversion (VC). The proposed model can convert speech of arbitrary length from multiple source speakers to multipl…
A Bin Encoding Training of a Spiking Neural Network-based Voice Activity Detection
Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak
Advances of deep learning for Artificial Neural Networks(ANNs) have led to significant improvements in the performance of digital signal processing systems implemented on digital c…
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar +1
Recent advances in Voice Activity Detection (VAD) are driven by artificial and Recurrent Neural Networks (RNNs), however, using a VAD system in battery-operated devices requires fu…
Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
Pierre Beckmann, Mikolaj Kegler, Milos Cernak
Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer. In recent years, unsupervised and self-supervised techniques for learning speech…