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09/14/2023
Multi-dimensional Speech Quality Assessment in Crowdsourcing
Subjective speech quality assessment is the gold standard for evaluating...
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09/06/2023
RoDia: A New Dataset for Romanian Dialect Identification from Speech
Dialect identification is a critical task in speech processing and langu...
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08/31/2023
CL-MAE: Curriculum-Learned Masked Autoencoders
Masked image modeling has been demonstrated as a powerful pretext task f...
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07/27/2023
Cascaded Cross-Modal Transformer for Request and Complaint Detection
We propose a novel cascaded cross-modal transformer (CCMT) that combines...
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06/21/2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
We propose an efficient abnormal event detection model based on a lightw...
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06/13/2023
Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
Sea ice is a crucial component of the Earth's climate system and is high...
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06/05/2023
DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation
Acoustic echo cancellation (AEC), noise suppression (NS) and dereverbera...
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11/28/2022
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
We propose a very fast frame-level model for anomaly detection in video,...
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09/29/2022
Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval
Spaceborne synthetic aperture radar (SAR) can provide accurate images of...
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09/25/2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Anomaly detection has recently gained increasing attention in the field ...
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08/24/2022
Deep model with built-in self-attention alignment for acoustic echo cancellation
With recent research advances, deep learning models have become an attra...
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05/18/2022
LeRaC: Learning Rate Curriculum
Most curriculum learning methods require an approach to sort the data sa...
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04/09/2022
Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
Spaceborne synthetic aperture radar can provide meters scale images of t...
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04/08/2022
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Super-resolving medical images can help physicians in providing more acc...
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03/17/2022
SepTr: Separable Transformer for Audio Spectrogram Processing
Following the successful application of vision transformers in multiple ...
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11/17/2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Anomaly detection is commonly pursued as a one-class classification prob...
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10/12/2021
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation
We propose a novel approach to translate unpaired contrast computed tomo...
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03/22/2021
Self-paced ensemble learning for speech and audio classification
Combining multiple machine learning models into an ensemble is known to ...
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10/14/2020
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks
Deep learning methods for automotive radar interference mitigation can s...
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08/11/2020
Estimating Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks
Radar sensors are gradually becoming a wide-spread equipment for road ve...
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06/17/2020
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs
The task of detecting whether a person wears a face mask from speech is ...
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02/29/2020
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks
Emotion recognition has become an important field of research in the hum...
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02/02/2020
