117 citations · 245 across the 23 of their papers we have counts for
8 papers · 1 filter
ICASSP 2023 Acoustic Echo Cancellation Challenge
Ross Cutler, Ando Saabas, Tanel Parnamaa +7
The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and is…
Multi-dimensional Speech Quality Assessment in Crowdsourcing
Babak Naderi, Ross Cutler, Nicolae-Catalin Ristea
Subjective speech quality assessment is the gold standard for evaluating speech enhancement processing and telecommunication systems. The commonly used standard ITU-T Rec. P.800 de…
RoDia: A New Dataset for Romanian Dialect Identification from Speech
Codrut Rotaru, Nicolae-Catalin Ristea, Radu Tudor Ionescu
We introduce RoDia, the first dataset for Romanian dialect identification from speech. The RoDia dataset includes a varied compilation of speech samples from five distinct regions…
CL-MAE: Curriculum-Learned Masked Autoencoders
Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi +2
Masked image modeling has been demonstrated as a powerful pretext task for generating robust representations that can be effectively generalized across multiple downstream tasks. T…
Cascaded Cross-Modal Transformer for Request and Complaint Detection
Nicolae-Catalin Ristea, Radu Tudor Ionescu
We propose a novel cascaded cross-modal transformer (CCMT) that combines speech and text transcripts to detect customer requests and complaints in phone conversations. Our approach…
Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu
Sea ice is a crucial component of the Earth's climate system and is highly sensitive to changes in temperature and atmospheric conditions. Accurate and timely measurement of sea ic…
DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation
Evgenii Indenbom, Nicolae-Catalin Ristea, Ando Saabas +3
Acoustic echo cancellation (AEC), noise suppression (NS) and dereverberation (DR) are an integral part of modern full-duplex communication systems. As the demand for teleconferenci…
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu +3
We propose an efficient abnormal event detection model based on a lightweight masked auto-encoder (AE) applied at the video frame level. The novelty of the proposed model is threef…