ICASSP 2019 Documents | SigPort

ICASSP 2019

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The 2019 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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END-TO-END LANGUAGE RECOGNITION USING ATTENTION BASED HIERARCHICAL GATED RECURRENT UNIT MODELS

Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data

Perceptually-motivated environment-specific speech enhancement

DEEP EMBEDDINGS FOR RARE AUDIO EVENT DETECTION WITH IMBALANCED DATA

TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising

SEQUENTIAL STRUCTURED DICTIONARY LEARNING FOR BLOCK SPARSE REPRESENTATIONS

Motion Artefact Removal in Functional Near-InfraRed Spectroscopy Signals based on Robust Estimation

STOCHASTIC DATA-DRIVEN HARDWARE RESILIENCE TO EFFICIENTLY TRAIN INFERENCE MODELS FOR STOCHASTIC HARDWARE IMPLEMENTATIONS

Sell-corpus: an Open Source Multiple Accented Chinese-english Speech Corpus for L2 English Learning Assessment

DETECTING GAS VAPOR LEAKS THROUGH UNCALIBRATED SENSOR BASED CPS

Multipath Enabled Private Audio with Noise

FROM TV-L1 TO GATED RECURRENT NETS

FROM TV-L1 TO GATED RECURRENT NETS

Towards Better Confidence Estimation for Neural Models

A Deep Generative Model of Speech Complex Spectrograms

Similarity Search-based Blind Source Separation

BREAST CANCER DETECTION BASED ON MERGING FOUR MODES MRI USING CONVOLUTIONAL NEURAL NETWORKS

Blind Quality Assessment for 3D-Synthesized Images by Measuring Geometric Distortions and Image Complexity

Blind Quality Assessment for 3D-Synthesized Images by Measuring Geometric Distortions and Image Complexity

PPSAN: PERCEPTUAL-AWARE 3D POINT CLOUD SEGMENTATION VIA ADVERSARIAL LEARNING

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