ICASSP 2020

Accelerating Distributed Deep Learning By Adaptive Gradient Quantization

Fast Start-Up Algorithm For Adaptive Noise Cancellers With Novel Snr Estimation And Stepsize Control

Variable Metric Proximal Gradient Method With Diagonal Barzilai-Borwein Stepsize

Semi-Supervised Speaker Adaptation For End-To-End Speech Synthesis With Pretrained Models

Probabilistic Filter And Smoother For Variational Inference Of Bayesian Linear Dynamical Systems

Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers In The Magnitude And Phase Responses

Towards Blind Quality Assessment Of Concert Audio Recordings Using Deep Neural Networks

On Exponentially Consistency Of Linkage-Based Hierarchical Clustering Algorithm Using Kolmogrov-Smirnov Distance

Sequential Joint Detection And Estimation With An Application To Joint Symbol Decoding And Noise Power Estimation

Anomalydae: Dual Autoencoder For Anomaly Detection On Attributed Networks

Distributed Equalization And Power Allocation For Multi-Carrier Bidirectional Filter-And-Forward Relay Networks

Localized Linear Regression In Networked Data