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Found 17 papers, 4 papers with code
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Convolution-augmented transformers (Conformers) are recently proposed in various speech-domain applications, such as automatic speech recognition (ASR) and speech separation, as they can capture both local and global dependencies.
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CMGAN: Conformer-based Metric GAN for Speech Enhancement
The estimation of magnitude and complex spectrogram is decoupled in the decoder stage and then jointly incorporated to reconstruct the enhanced speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
A MIMO Radar-based Few-Shot Learning Approach for Human-ID
Radar for deep learning-based human identification has become a research area of increasing interest.
Uncertainty-Based Biological Age Estimation of Brain MRI Scans
We apply the proposed methodology on a brain MRI dataset containing healthy individuals as well as Alzheimer's patients.
Investigating Cross-Domain Losses for Speech Enhancement
Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition.
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
Thus, a whole-body assessment of the BA does not reflect the deviations of aging behavior between organs.
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars.
ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging
Local deformations in medical modalities are common phenomena due to a multitude of factors such as metallic implants or limited field of views in magnetic resonance imaging (MRI).
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks
Automatic speech recognition (ASR) systems are of vital importance nowadays in commonplace tasks such as speech-to-text processing and language translation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Organ-based Chronological Age Estimation based on 3D MRI Scans
Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics.
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Motion is one of the main sources for artifacts in magnetic resonance (MR) images.
Unsupervised Medical Image Translation Using Cycle-MedGAN
The proposed framework utilizes new non-adversarial cycle losses which direct the framework to minimize the textural and perceptual discrepancies in the translated images.
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications.
Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers
In our proposed experimental setup, a treadmill is used to collect $\boldsymbol{\mu}$-D signatures of 22 subjects with different genders and body characteristics.
Towards Adversarial Denoising of Radar Micro-Doppler Signatures
Two sets of experiments were collected on 22 subjects walking on a treadmill at an intermediate velocity using a \unit[25]{GHz} CW radar.
Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs
Unique micro-Doppler signature ($\boldsymbol{\mu}$-D) of a human body motion can be analyzed as the superposition of different body parts $\boldsymbol{\mu}$-D signatures.
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
