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09/20/2022
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies
Adaptive filters are applicable to many signal processing tasks includin...
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04/25/2022
Meta-AF: Meta-Learning for Adaptive Filters
Adaptive filtering algorithms are pervasive throughout modern society an...
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12/08/2021
NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers
Estimating a time-varying spatial covariance matrix for a beamforming al...
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10/08/2021
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
Adaptive filtering algorithms are commonplace in signal processing and h...
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05/17/2021
Sound Event Detection with Adaptive Frequency Selection
In this work, we present HIDACT, a novel network architecture for adapti...
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05/11/2021
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data
We propose FEDENHANCE, an unsupervised federated learning (FL) approach ...
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02/12/2021
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders
Audio codecs based on discretized neural autoencoders have recently been...
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11/14/2020
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays
When performing multi-channel speech enhancement with a wireless acousti...
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02/20/2020
Efficient Trainable Front-Ends for Neural Speech Enhancement
Many neural speech enhancement and source separation systems operate in ...
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05/03/2019
Deep Tensor Factorization for Spatially-Aware Scene Decomposition
We propose a completely unsupervised method to understand audio scenes o...
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11/17/2018
Multipath-enabled private audio with noise
We address the problem of privately communicating audio messages to mult...
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11/03/2018
Multi-View Networks For Multi-Channel Audio Classification
In this paper we introduce the idea of multi-view networks for sound cla...
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09/16/2018
Cocktails, but no party: multipath-enabled private audio
We describe a private audio messaging system that uses echoes to unscram...
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06/13/2018
