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Dual-Path Modeling for Long Recording Speech Separation in Meetings
The continuous speech separation (CSS) is a task to separate the speech sources from a long, partially overlapped recording, which involves a varying number of speakers. A straightforward extension of conventional utterance-leve ... Read More >
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End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Nu ...
Recently, the end-to-end approach has been successfully applied to multi-speaker speech separation and recognition in both single-channel and multichannel conditions. However, severe performance degradation is still observed in ... Read More >
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Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies ...
We created a custom pipeline (histo-fetch) to efficiently extract random patches and labels from pathology whole slide images (WSIs) for input to a neural network on-the-fly. We prefetch these patches as needed during network tr ... Read More >
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The Curious Case of Integrator Reach Sets, Part I: Basic Theory
This is the first of a two part paper investigating the geometry of the integrator reach sets, and the applications thereof. In this Part I, assuming box-valued input uncertainties, we establish that this compact convex reach se ... Read More >
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Fast Beam Tracking for Reconfigurable Intelligent Surface Assisted Mobile mmWave ...
Millimeter wave (mmWave) communications are vulnerable to blockages and node mobility due to the highly directional signal beams. The emerging Reconfigurable Intelligent Surfaces (RISs) technique can effectively mitigate the blo ... Read More >
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Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technolog ...
With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and quality assurance of services. Traditionally, qu ... Read More >
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On Stability and Convergence of Distributed Filters
Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. These te ... Read More >
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Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Lan ...
In remote sensing, hyperspectral (HS) and multispectral (MS) image fusion have emerged as a synthesis tool to improve the data set resolution. However, conventional image fusion methods typically degrade the performance of the l ... Read More >
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Mixed-Precision Quantization and Parallel Implementation of Multispectral Rieman ...
With Motor-Imagery (MI) Brain--Machine Interfaces (BMIs) we may control machines by merely thinking of performing a motor action. Practical use cases require a wearable solution where the classification of the brain signals is d ... Read More >
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RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aw ...
The novel 2019 Coronavirus (COVID-19) infection has spread world widely and is currently a major healthcare challenge around the world. Chest Computed Tomography (CT) and X-ray images have been well recognized to be two effectiv ... Read More >