26 citations · 54 across the 5 of their papers we have counts for
5 papers
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement
Zhepei Wang, Ritwik Giri, Devansh Shah +3
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement. This is achieved by i…
Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces
Anku Adhikari, Samuel Guo, Paris Smaragdis +1
We show that as a side effect of building code requirements, almost all commercial buildings today are vulnerable to a novel data exfiltration attack, even if they are air-gapped a…
A State-Space Approach to Dynamic Nonnegative Matrix Factorization
Nasser Mohammadiha, Paris Smaragdis, Ghazaleh Panahandeh +1
Nonnegative matrix factorization (NMF) has been actively investigated and used in a wide range of problems in the past decade. A significant amount of attention has been given to d…
NoiseOut: A Simple Way to Prune Neural Networks
Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell
Neural networks are usually over-parameterized with significant redundancy in the number of required neurons which results in unnecessary computation and memory usage at inference…
A Neural Network Alternative to Non-Negative Audio Models
Paris Smaragdis, Shrikant Venkataramani
We present a neural network that can act as an equivalent to a Non-Negative Matrix Factorization (NMF), and further show how it can be used to perform supervised source separation.…