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09/14/2023
M3-AUDIODEC: Multi-channel multi-speaker multi-spatial audio codec
We introduce M3-AUDIODEC, an innovative neural spatial audio codec desig...
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08/31/2023
ReZero: Region-customizable Sound Extraction
We introduce region-customizable sound extraction (ReZero), a general an...
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08/21/2023
Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression
Echo cancellation and noise reduction are essential for full-duplex comm...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track
This paper summarizes the cinematic demixing (CDX) track of the Sound De...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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08/13/2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Thanks to the rapid development of diffusion models, unprecedented progr...
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05/31/2023
Graph Entropy Minimization for Semi-supervised Node Classification
Node classifiers are required to comprehensively reduce prediction error...
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04/23/2023
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Large language models (LLMs) can achieve highly effective performance on...
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04/17/2023
Fast Random Approximation of Multi-channel Room Impulse Response
Modern neural-network-based speech processing systems are typically requ...
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03/30/2023
B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing
A universal and flexible design method for freeform surface that can mod...
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11/19/2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
For node classification, Graph Neural Networks (GNN) assign predefined l...
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10/11/2022
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
Usually, lesions are not isolated but are associated with the surroundin...
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09/30/2022
Music Source Separation with Band-split RNN
The performance of music source separation (MSS) models has been greatly...
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09/07/2022
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Choral music separation refers to the task of extracting tracks of voice...
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08/30/2022
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning
Exposure to bio-aerosols such as mold spores and pollen can lead to adve...
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08/13/2022
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network
We report deep learning-based design of a massively parallel broadband d...
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08/08/2022
FRA-RIR: Fast Random Approximation of the Image-source Method
The training of modern speech processing systems often requires a large ...
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08/08/2022
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
Classification of an object behind a random and unknown scattering mediu...
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06/15/2022
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems
Most of the recent neural source separation systems rely on a masking-ba...
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06/15/2022
On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems
While the performance of offline neural speech separation systems has be...
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06/15/2022
Super-resolution image display using diffractive decoders
High-resolution synthesis/projection of images over a large field-of-vie...
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05/26/2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Privacy protection is a growing concern in the digital era, with machine...
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05/01/2022
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Imaging through diffusive media is a challenging problem, where the exis...
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04/21/2022
An Information-theoretical Secured Byzantine-fault Tolerance Consensus in Quantum Key Distribution Network
Quantum key distribution (QKD) networks is expected to provide informati...
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03/23/2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
The key towards learning informative node representations in graphs lies...
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12/07/2021
A Time-domain Generalized Wiener Filter for Multi-channel Speech Separation
Frequency-domain neural beamformers are the mainstream methods for recen...
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12/04/2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Recent advances in the design of neural network architectures, in partic...
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11/02/2021
Cascadable all-optical NAND gates using diffractive networks
Owing to its potential advantages such as scalability, low latency and p...
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06/16/2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Nowadays, Graph Neural Networks (GNNs) following the Message Passing par...
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03/31/2021
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy
Various volatile aerosols have been associated with adverse health effec...
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02/23/2021
Dual-Path Modeling for Long Recording Speech Separation in Meetings
The continuous speech separation (CSS) is a task to separate the speech ...
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02/10/2021
Memory-Associated Differential Learning
Conventional Supervised Learning approaches focus on the mapping from in...
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12/17/2020
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Leveraging additional speaker information to facilitate speech separatio...
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12/14/2020
Group Communication with Context Codec for Ultra-Lightweight Source Separation
Ultra-lightweight model design is an important topic for the deployment ...
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11/17/2020
Implicit Filter-and-sum Network for Multi-channel Speech Separation
Various neural network architectures have been proposed in recent years ...
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11/17/2020
Rethinking the Separation Layers in Speech Separation Networks
Modules in all existing speech separation networks can be categorized in...
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11/17/2020
Ultra-Lightweight Speech Separation via Group Communication
Model size and complexity remain the biggest challenges in the deploymen...
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11/16/2020
Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios
This work presented a new drone-based face detection dataset Drone LAMS ...
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11/03/2020
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis
Multi-speaker speech recognition of unsegmented recordings has diverse a...
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09/07/2020
An End-to-end Architecture of Online Multi-channel Speech Separation
Multi-speaker speech recognition has been one of the keychallenges in co...
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07/01/2020
Deep learning-based holographic polarization microscopy
Polarized light microscopy provides high contrast to birefringent specim...
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06/30/2020
Terahertz Pulse Shaping Using Diffractive Legos
Recent advances in deep learning have been providing non-intuitive solut...
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05/15/2020
Machine Vision using Diffractive Spectral Encoding
Machine vision systems mostly rely on lens-based optical imaging archite...
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03/27/2020
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Many recent source separation systems are designed to separate a fixed n...
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02/16/2020
Real-time binaural speech separation with preserved spatial cues
Deep learning speech separation algorithms have achieved great success i...
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01/30/2020
Continuous speech separation: dataset and analysis
This paper describes a dataset and protocols for evaluating continuous s...
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10/30/2019
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation
An important problem in ad-hoc microphone speech separation is how to gu...
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10/14/2019
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
Recent studies in deep learning-based speech separation have proven the ...
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09/29/2019
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing
Beamforming has been extensively investigated for multi-channel audio pr...
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09/27/2019