1 code implementation • 24 Aug 2022 • Evgenii Indenbom, Nicolae-Cătălin Ristea, Ando Saabas, Tanel Pärnamaa, Jegor Gužvin
Since acoustic echo is one of the major sources of poor audio quality, a wide variety of deep models have been proposed.
1 code implementation • 21 Jul 2020 • Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu
Moreover, considering the lack of databases for this task, we release as open source a large scale data set that closely replicates real world automotive scenarios for single-interference cases, allowing others to objectively compare their future work in this domain.
Signal Processing
1 code implementation • 11 Aug 2020 • Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu
In order to train our network in a real-world scenario, we introduce a new data set of realistic automotive radar signals with multiple targets and multiple interferers.
no code implementations • 17 Jun 2020 • Nicolae-Cătălin Ristea, Radu Tudor Ionescu
Original and translated utterances are converted into spectrograms which are provided as input to a set of ResNet neural networks with various depths.
no code implementations • 14 Oct 2020 • Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar
In autonomous driving, radar systems play an important role in detecting targets such as other vehicles on the road.
no code implementations • 29 Sep 2022 • Nicolae-Cătălin Ristea, Andrei Anghel, Mihai Datcu, Bertrand Chapron
Spaceborne synthetic aperture radar (SAR) can provide accurate images of the ocean surface roughness day-or-night in nearly all weather conditions, being an unique asset for many geophysical applications.
no code implementations • 12 Mar 2023 • Ross Cutler, Ando Saabas, Babak Naderi, Nicolae-Cătălin Ristea, Sebastian Braun, Solomiya Branets
The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.