Search Results - "2020 28th European Signal Processing Conference (EUSIPCO)"

A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks by Sirichotedumrong, Warit, Kiya, Hitoshi

“…We propose a novel image transformation scheme using generative adversarial networks (GANs) for privacy-preserving deep neural networks (DNNs). The proposed…”
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Robust Blind Multichannel Identification based on a Phase Constraint and Different ℓp-norm Constraints by Jo, Byeongho, Calamia, Paul

“…Blind multichannel identification has played a crucial role as a prerequisite for channel equalization, speech de-reverberation, and time-delay estimation for…”
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Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection by Lesouple, Julien, Tourneret, Jean-Yves

“…Machine learning and data-driven algorithms have gained a growth of interest during the past decades due to the computation capability of the computers which…”
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Deep Recurrent Neural Networks for Audio Classification in Construction Sites by Scarpiniti, Michele, Comminiello, Danilo, Uncini, Aurelio, Lee, Yong-Cheol

“…In this paper, we propose a Deep Recurrent Neural Network (DRNN) approach based on Long-Short Term Memory (LSTM) units for the classification of audio signals…”
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SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks by Guirguis, Karim, Schorn, Christoph, Guntoro, Andre, Abdulatif, Sherif, Yang, Bin

“…The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars. Extensive research has been…”
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DoA Estimation via Unlimited Sensing by Fernandez-Menduina, Samuel, Krahmer, Felix, Leus, Geert, Bhandari, Ayush

“…Direction-of-arrival (DoA) estimation is a mature topic with decades of history. Despite the progress in the field, very few papers have looked at the problem…”
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Automated Dysarthria Severity Classification Using Deep Learning Frameworks by Joshy, Amlu Anna, Rajan, Rajeev

“…Dysarthria is a neuro-motor speech disorder that renders speech unintelligible, in proportional to its severity. Assessing the severity level of dysarthria,…”
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The Modulo Radon Transform and its Inversion by Bhandari, Ayush, Beckmann, Matthias, Krahmer, Felix

“…In this paper, we introduce the Modulo Radon Transform (MRT) which is complemented by an inversion algorithm. The MRT generalizes the conventional Radon…”
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Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network by Accou, Bernd, Jalilpour Monesi, Mohammad, Montoya, Jair, Van hamme, Hugo, Francart, Tom

“…Current tests to measure whether a person can understand speech require behavioral responses from the person, which is in practice not always possible (e.g…”
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Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures by Kervazo, Christophe, Gillis, Nicolas, Dobigeon, Nicolas

“…In this work, we tackle the problem of hyperspectral unmixing by departing from the usual linear model and focusing on a linear-quadratic (LQ) one. The…”
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Few-Shot Learning of Signal Modulation Recognition based on Attention Relation Network by Zhang, Zilin, Li, Yan, Gao, Meiguo

“…Most of existing signal modulation recognition methods attempt to establish a machine learning mechanism by training with a large number of annotated samples,…”
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Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis by Passalis, N., Kirtas, M., Mourgias-Alexandris, G., Dabos, G., Pleros, N., Tefas, A.

“…Photonic-based neuromorphic hardware holds the credentials for providing fast and energy efficient implementations of computationally complex Deep Learning…”
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AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks by Abdulatif, Sherif, Armanious, Karim, Guirguis, Karim, Sajeev, Jayasankar T., Yang, Bin

“…Automatic speech recognition (ASR) systems are of vital importance nowadays in commonplace tasks such as speech-to-text processing and language translation…”
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Detection of Obstructive Sleep Apnoea by ECG signals using Deep Learning Architectures by Almutairi, Haifa, Hassan, Ghulam Mubashar, Datta, Amitava

“…Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep and general anaesthesia. This disorder can affect human life considerably…”
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Demographic Bias in Presentation Attack Detection of Iris Recognition Systems by Fang, Meiling, Damer, Naser, Kirchbuchner, Florian, Kuijper, Arjan

“…With the widespread use of biometric systems, the demographic bias problem raises more attention. Although many studies addressed bias issues in biometric…”
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Comparing Representations for Audio Synthesis Using Generative Adversarial Networks by Nistal, Javier, Lattner, Stefan, Richard, Gael

“…In this paper, we compare different audio signal representations, including the raw audio waveform and a variety of time-frequency representations, for the…”
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Comparison of Convolution Types in CNN-based Feature Extraction for Sound Source Localization by Krause, Daniel, Politis, Archontis, Kowalczyk, Konrad

“…This paper presents an overview of several approaches to convolutional feature extraction in the context of deep neural network (DNN) based sound source…”
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Loss Functions for CNN-based Biometric Vein Recognition by Salih Kuzu, Ridvan, Maiorana, Emanuele, Campisi, Patrizio

“…The recent progress in deep learning has led to a rapid change in the way biometric data can be handled, offering new opportunities for further research on…”
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GAN-based Hyperspectral Anomaly Detection by Arisoy, Sertac, Nasrabadi, Nasser M., Kayabol, Koray

“…In this paper, we propose a generative adversarial network (GAN)-based hyperspectral anomaly detection algorithm. In the proposed algorithm, we train a GAN…”
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CFAR Detector for Compressed Sensing Radar Based on l1-norm Minimisation by Kozlov, Dmitrii, Ott, Peter

“…Rapidly developing Compressed Sensing theory looks promising for many practical applications, since it allows us to reconstruct K-sparce signals and to reduce…”
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