b'Xiaofei Wang'

research

∙ 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...

0 Xinjing Yuan, et al. ∙

research

∙ 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...

0 Fan Yang, et al. ∙

research

∙ 05/10/2023

Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network

Kubernetes (k8s) has the potential to coordinate distributed edge resour...

0 Shihao Shen, et al. ∙

research

∙ 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...

3 Xiaofei Wang, et al. ∙

research

∙ 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...

0 Xiaoxu Ren, et al. ∙

research

∙ 02/27/2023

CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World

Patch-based physical attacks have increasingly aroused concerns. Howev...

0 Jiawei Lian, et al. ∙

research

∙ 02/27/2023

Contextual adversarial attack against aerial detection in the physical world

Deep Neural Networks (DNNs) have been extensively utilized in aerial det...

0 Jiawei Lian, et al. ∙

research

∙ 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...

0 Minrui Xu, et al. ∙

research

∙ 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...

0 Xiaofei Wang, et al. ∙

research

∙ 11/09/2022

Speech separation with large-scale self-supervised learning

Self-supervised learning (SSL) methods such as WavLM have shown promisin...

0 Zhuo Chen, et al. ∙

research

∙ 10/27/2022

Simulating realistic speech overlaps improves multi-talker ASR

Multi-talker automatic speech recognition (ASR) has been studied to gene...

0 Muqiao Yang, et al. ∙

research

∙ 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)...

6 Naoyuki Kanda, et al. ∙

research

∙ 04/07/2022

Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation

Existing multi-channel continuous speech separation (CSS) models are hea...

0 Xiaofei Wang, et al. ∙

research

∙ 03/30/2022

Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings

This paper presents a streaming speaker-attributed automatic speech reco...

0 Naoyuki Kanda, et al. ∙

research

∙ 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...

0 Yuanming Ren, et al. ∙

research

∙ 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 ...

0 Naoyuki Kanda, et al. ∙

research

∙ 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...

0 Takuya Yoshioka, et al. ∙

research

∙ 01/17/2022

Generalizable survival analysis of randomized controlled trials with observational studies

In the presence of heterogeneity between the randomized controlled trial...

0 Dasom Lee, et al. ∙

research

∙ 10/18/2021

Personalized Speech Enhancement: New Models and Comprehensive Evaluation

Personalized speech enhancement (PSE) models utilize additional cues, su...

0 Sefik Emre Eskimez, et al. ∙

research

∙ 10/13/2021

All-neural beamformer for continuous speech separation

Continuous speech separation (CSS) aims to separate overlapping voices f...

0 Zhuohuang Zhang, et al. ∙

research

∙ 10/12/2021

VarArray: Array-Geometry-Agnostic Continuous Speech Separation

Continuous speech separation using a microphone array was shown to be pr...

0 Takuya Yoshioka, et al. ∙

research

∙ 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...

0 Naoyuki Kanda, et al. ∙

research

∙ 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 ...

0 Xiaofei Wang, et al. ∙

research

∙ 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...

0 Naoyuki Kanda, et al. ∙

research

∙ 04/05/2021

End-to-End Speaker-Attributed ASR with Transformer

This paper presents our recent effort on end-to-end speaker-attributed a...

0 Naoyuki Kanda, et al. ∙

research

∙ 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...

0 Naoyuki Kanda, et al. ∙

research

∙ 03/03/2021

Continuous Speech Separation with Ad Hoc Microphone Arrays

Speech separation has been shown effective for multi-talker speech recog...

0 Dongmei Wang, et al. ∙

research

∙ 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...

0 Yiwen Han, et al. ∙

research

∙ 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...

0 Shuai Yu, et al. ∙

research

∙ 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-...

0 Xuankai Chang, et al. ∙

research

∙ 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...

0 Xiaofei Wang, et al. ∙

research

∙ 11/03/2020

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR

Recently, an end-to-end speaker-attributed automatic speech recognition ...

0 Naoyuki Kanda, et al. ∙

research

∙ 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...

0 Naoyuki Kanda, et al. ∙

research

∙ 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...

0 Shu Yang, et al. ∙

research

∙ 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...

0 Naoyuki Kanda, et al. ∙

research

∙ 06/04/2020

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions

As the 5G communication networks are being widely deployed worldwide, bo...

0 YI LIU, et al. ∙

research

∙ 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...

0 Shu Yang, et al. ∙

research

∙ 03/28/2020

Serialized Output Training for End-to-End Overlapped Speech Recognition

This paper proposes serialized output training (SOT), a novel framework ...

0 Naoyuki Kanda, et al. ∙

research

∙ 03/02/2020

Integrative analysis of randomized clinical trials with real world evidence studies

We leverage the complementing features of randomized clinical trials (RC...

0 Lin Dong, et al. ∙

research

∙ 11/02/2019

Global Adaptive Generative Adjustment

Many traditional signal recovery approaches can behave well basing on th...

14 Bin Wang, et al. ∙

research

∙ 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 ...

0 Ruizhi Li, et al. ∙

research

∙ 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...

11 Haris Cheong, et al. ∙

research

∙ 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...

0 Shigeki Karita, et al. ∙

research

∙ 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...

0 Alphan Sahin, et al. ∙

research

∙ 07/19/2019

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Ubiquitous sensors and smart devices from factories and communities guar...

0 Yiwen Han, et al. ∙

research

∙ 06/17/2019

Multi-Stream End-to-End Speech Recognition

Attention-based methods and Connectionist Temporal Classification (CTC) ...

0 Ruizhi Li, et al. ∙

research

∙ 04/19/2019

An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions

Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...

0 Aswin Shanmugam Subramanian, et al. ∙

research

∙ 04/19/2019

Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR

Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...

0 Aswin Shanmugam Subramanian, et al. ∙

research

∙ 04/08/2019

Exploring Methods for the Automatic Detection of Errors in Manual Transcription

Quality of data plays an important role in most deep learning tasks. In ...

0 Xiaofei Wang, et al. ∙

research

∙ 03/26/2019

Attention Based Glaucoma Detection: A Large-scale Database and CNN Model

Recently, the attention mechanism has been successfully applied in convo...

18 Liu Li, et al. ∙

Xiaofei Wang

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