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ICASSP 2020

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The ICASSP 2020 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website.

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ANALYSIS OF ACOUSTIC FEATURES FOR SPEECH SOUND BASED CLASSIFICATION OF ASTHMATIC AND HEALTHY SUBJECTS
CONFIRMNET: CONVOLUTIONAL FIRMNET AND APPLICATION TO IMAGE DENOISING AND INPAINTING
TOWARDS FAST AND ACCURATE STREAMING END-TO-END ASR
CONSENSUS-BASED DISTRIBUTED CLUSTERING FOR IOT
CLCNet: Deep learning-based noise reduction for hearing aids using Complex Linear Coding
A DENSE U-NET WITH CROSS LAYER INTERSECTION FOR DETECTION AND LOCALIZATION OF IMAGE FORGERY
TWO-ELEMENT BIOMIMETIC ANTENNA ARRAY DESIGN AND PERFORMANCE
SeCoST: Sequential Co-Supervision For Large Scale Weakly Labeled Audio Event Detection
SEQUENTIAL DEEP UNROLLING WITH FLOW PRIORS FOR ROBUST VIDEO DERAINING
MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING
Robust End-To-End Keyword Spotting And Voice Command Recognition For Mobile Game
Estimating Centrality Blindly from Low-pass Filtered Graph Signals
COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING CHANNELS
A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes
ROBUST ONLINE MATRIX COMPLETION WITH GAUSSIAN MIXTURE MODEL
PARALLEL WAVEGAN: A FAST WAVEFORM GENERATION MODEL BASED ON GENERATIVE ADVERSARIAL NETWORKS WITH MULTI-RESOLUTION SPECTROGRAM
Active Control of Line Spectral Noise with Simultaneous Secondary Path Modeling Without Auxiliary Noise
Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT
ENHANCING END-TO-END MULTI-CHANNEL SPEECH SEPARATION VIA SPATIAL FEATURE LEARNING
Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra

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