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09/14/2023
DiariST: Streaming Speech Translation with Speaker Diarization
End-to-end speech translation (ST) for conversation recordings involves ...
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08/23/2023
Fine-grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks
The 5G networks have extensively promoted the growth of mobile users and...
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08/01/2023
EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
With the development of networking technology, the computing system has ...
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08/01/2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT
With the development of the Internet of Things (IoT) and the birth of va...
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06/21/2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Deep neural networks (DNNs) have found widespread applications in interp...
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05/22/2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Spl...
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05/13/2023
Student Classroom Behavior Detection based on YOLOv7-BRA and Multi-Model Fusion
Accurately detecting student behavior in classroom videos can aid in ana...
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05/10/2023
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Kubernetes (k8s) has the potential to coordinate distributed edge resour...
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03/26/2023
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
Most recently, the pathology diagnosis of cancer is shifting to integrat...
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03/23/2023
Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View
Web 3.0 pursues the establishment of decentralized ecosystems based on b...
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02/27/2023
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World
Patch-based physical attacks have increasingly aroused concerns. Howev...
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02/27/2023
Contextual adversarial attack against aerial detection in the physical world
Deep Neural Networks (DNNs) have been extensively utilized in aerial det...
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11/29/2022
When Quantum Information Technologies Meet Blockchain in Web 3.0
With the drive to create a decentralized digital economy, Web 3.0 has be...
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11/11/2022
Breaking trade-offs in speech separation with sparsely-gated mixture of experts
Several trade-offs need to be balanced when employing monaural speech se...
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11/09/2022
Speech separation with large-scale self-supervised learning
Self-supervised learning (SSL) methods such as WavLM have shown promisin...
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10/27/2022
Simulating realistic speech overlaps improves multi-talker ASR
Multi-talker automatic speech recognition (ASR) has been studied to gene...
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09/12/2022
VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition
This paper presents a novel streaming automatic speech recognition (ASR)...
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04/07/2022
Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation
Existing multi-channel continuous speech separation (CSS) models are hea...
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03/30/2022
Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
This paper presents a streaming speaker-attributed automatic speech reco...
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03/20/2022
EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services
The edge-cloud system has the potential to combine the advantages of het...
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02/02/2022
Streaming Multi-Talker ASR with Token-Level Serialized Output Training
This paper proposes a token-level serialized output training (t-SOT), a ...
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01/24/2022
PickNet: Real-Time Channel Selection for Ad Hoc Microphone Arrays
This paper proposes PickNet, a neural network model for real-time channe...
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01/17/2022
Generalizable survival analysis of randomized controlled trials with observational studies
In the presence of heterogeneity between the randomized controlled trial...
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10/18/2021
Personalized Speech Enhancement: New Models and Comprehensive Evaluation
Personalized speech enhancement (PSE) models utilize additional cues, su...
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10/13/2021
All-neural beamformer for continuous speech separation
Continuous speech separation (CSS) aims to separate overlapping voices f...
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10/12/2021
VarArray: Array-Geometry-Agnostic Continuous Speech Separation
Continuous speech separation using a microphone array was shown to be pr...
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10/07/2021
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR
This paper presents Transcribe-to-Diarize, a new approach for neural spe...
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08/11/2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
A promising approach to solving challenging long-horizon tasks has been ...
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07/06/2021
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
Speaker-attributed automatic speech recognition (SA-ASR) is a task to re...
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04/05/2021
End-to-End Speaker-Attributed ASR with Transformer
This paper presents our recent effort on end-to-end speaker-attributed a...
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03/31/2021
Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone
Transcribing meetings containing overlapped speech with only a single di...
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03/03/2021
Continuous Speech Separation with Ad Hoc Microphone Arrays
Speech separation has been shown effective for multi-talker speech recog...
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01/17/2021
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
Kubernetes (k8s) has the potential to merge the distributed edge and the...
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01/15/2021
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Edge computing-enhanced Internet of Vehicles (EC-IoV) enables ubiquitous...
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01/06/2021
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings
An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-...
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11/05/2020
Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription
Joint optimization of multi-channel front-end and automatic speech recog...
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11/03/2020
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
Recently, an end-to-end speaker-attributed automatic speech recognition ...
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08/11/2020
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings
Recently, an end-to-end (E2E) speaker-attributed automatic speech recogn...
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07/25/2020
Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding
The heterogeneity of treatment effect (HTE) lies at the heart of precisi...
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06/19/2020
Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers
We propose an end-to-end speaker-attributed automatic speech recognition...
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06/04/2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
As the 5G communication networks are being widely deployed worldwide, bo...
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05/21/2020
Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation
Parallel randomized trial (RT) and real-world (RW) data are becoming inc...
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03/28/2020
Serialized Output Training for End-to-End Overlapped Speech Recognition
This paper proposes serialized output training (SOT), a novel framework ...
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03/02/2020
Integrative analysis of randomized clinical trials with real world evidence studies
We leverage the complementing features of randomized clinical trials (RC...
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11/02/2019
Global Adaptive Generative Adjustment
Many traditional signal recovery approaches can behave well basing on th...
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10/23/2019
A practical two-stage training strategy for multi-stream end-to-end speech recognition
The multi-stream paradigm of audio processing, in which several sources ...
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10/07/2019
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
Purpose: To remove retinal shadows from optical coherence tomography (OC...
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09/13/2019
A Comparative Study on Transformer vs RNN in Speech Applications
Sequence-to-sequence models have been widely used in end-to-end speech p...
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08/14/2019
Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio
The peak-to-average-power ratio (PAPR) of the frequency domain multiplex...
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07/19/2019
