activity
20202023
most citedDeep model with built-in cross-attention alignment for acoustic echo cancellation

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2023

ICASSP 2023 Speech Signal Improvement Challenge

Ross Cutler, Ando Saabas, Babak Naderi +3

The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. The speech signal…

cs.SD2022★ 7 cited

Deep model with built-in cross-attention alignment for acoustic echo cancellation

Evgenii Indenbom, Nicolae-Cătălin Ristea, Ando Saabas +2

With recent research advances, deep learning models have become an attractive choice for acoustic echo cancellation (AEC) in real-time teleconferencing applications. Since acoustic…

eess.SP2020

Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks

Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu +1

In autonomous driving, radar systems play an important role in detecting targets such as other vehicles on the road. Radars mounted on different cars can interfere with each other,…

eess.AS2020★ 2 cited

Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs

Nicolae-Cătălin Ristea, Radu Tudor Ionescu

The task of detecting whether a person wears a face mask from speech is useful in modelling speech in forensic investigations, communication between surgeons or people protecting t…

eess.SP2020

Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation

Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu

The interest of the automotive industry has progressively focused on subjects related to driver assistance systems as well as autonomous cars. Cars combine a variety of sensors to…