Zhuo Chen

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University of Oxford ∙ Zhejiang University ∙ Microsoft ∙ Nanyang Technological University ∙ Columbia University ∙ Carnegie Mellon University ∙ Stevens Institute of Technology ∙ USTC

PhD candidate at Carnegie Mellon University, Computer Science Department since 2012, Engineering Intern at Nod Labs 2015, Research Intern at Microsoft from 2011-2012

Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer

With its strong modeling capacity that comes from a multi-head and multi...
10/23/2020 ∙ by Sanyuan Chen, et al. ∙ 0 ∙ share

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Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020

This paper describes the Microsoft speaker diarization system for monaur...
10/22/2020 ∙ by Xiong Xiao, et al. ∙ 0 ∙ share

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Speaker Separation Using Speaker Inventories and Estimated Speech

We propose speaker separation using speaker inventories and estimated sp...
10/20/2020 ∙ by Peidong Wang, et al. ∙ 0 ∙ share

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Justifications for Goal-Directed Constraint Answer Set Programming

Ethical and legal concerns make it necessary for programs that may direc...
09/22/2020 ∙ by Joaquín Arias, et al. ∙ 0 ∙ share

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An End-to-end Architecture of Online Multi-channel Speech Separation

Multi-speaker speech recognition has been one of the keychallenges in co...
09/07/2020 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network

Recently, the state-of-the-art deep learning methods have demonstrated i...
08/30/2020 ∙ by Shuqiang Wang, et al. ∙ 0 ∙ share

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Continuous Speech Separation with Conformer

Continuous speech separation plays a vital role in complicated speech re...
08/13/2020 ∙ by Sanyuan Chen, et al. ∙ 0 ∙ share

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Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

Recently, an end-to-end (E2E) speaker-attributed automatic speech recogn...
08/11/2020 ∙ by Naoyuki Kanda, et al. ∙ 0 ∙ share

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Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles

Envisioned as a promising component of the future wireless Internet-of-T...
07/27/2020 ∙ by Yuxin Lu, et al. ∙ 0 ∙ share

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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...
06/19/2020 ∙ by Naoyuki Kanda, et al. ∙ 0 ∙ share

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Neural Speech Separation Using Spatially Distributed Microphones

This paper proposes a neural network based speech separation method usin...
04/28/2020 ∙ by Dongmei Wang, et al. ∙ 0 ∙ share

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Generative Adversarial Zero-shot Learning via Knowledge Graphs

Zero-shot learning (ZSL) is to handle the prediction of those unseen cla...
04/07/2020 ∙ by Yuxia Geng, et al. ∙ 0 ∙ share

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Continuous speech separation: dataset and analysis

This paper describes a dataset and protocols for evaluating continuous s...
01/30/2020 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Spectrum Intelligent Radio: Technology, Development, and Future Trends

The advent of Industry 4.0 with massive connectivity places significant ...
01/01/2020 ∙ by Peng Cheng, et al. ∙ 0 ∙ share

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Advances in Online Audio-Visual Meeting Transcription

This paper describes a system that generates speaker-annotated transcrip...
12/10/2019 ∙ by Takuya Yoshioka, et al. ∙ 15 ∙ share

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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...
10/30/2019 ∙ by Yi Luo, et al. ∙ 0 ∙ share

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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 ...
10/14/2019 ∙ by Yi Luo, et al. ∙ 0 ∙ share

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A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels

Multi-parameter cognition in a cognitive radio network (CRN) provides a ...
07/21/2019 ∙ by Rui Zhang, et al. ∙ 2 ∙ share

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Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch

We introduce PyKaldi2 speech recognition toolkit implemented based on Ka...
07/12/2019 ∙ by Liang Lu, et al. ∙ 0 ∙ share

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ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection

In recent years, Convolutional Neural Networks (CNNs) have shown superio...
06/19/2019 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Meeting Transcription Using Virtual Microphone Arrays

We describe a system that generates speaker-annotated transcripts of mee...
05/03/2019 ∙ by Takuya Yoshioka, et al. ∙ 0 ∙ share

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Low-Latency Speaker-Independent Continuous Speech Separation

Speaker independent continuous speech separation (SI-CSS) is a task of c...
04/13/2019 ∙ by Takuya Yoshioka, et al. ∙ 0 ∙ share

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On the Distribution of GSVD

In this paper, some new results on the distribution of the generalized s...
02/25/2019 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Understanding the Impact of Label Granularity on CNN-based Image Classification

In recent years, supervised learning using Convolutional Neural Networks...
01/21/2019 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks

The goal of this work is to develop a meeting transcription system that ...
10/08/2018 ∙ by Takuya Yoshioka, et al. ∙ 0 ∙ share

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Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing

The recent advances of hardware technology have made the intelligent ana...
09/17/2018 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Mobile Collaborative Spectrum Sensing for Heterogeneous Networks: A Bayesian Machine Learning Approach

Spectrum sensing in a large-scale heterogeneous network is very challeng...
09/10/2018 ∙ by Yizhen Xu, et al. ∙ 0 ∙ share

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Asymptotic Performance Analysis of GSVD-NOMA Systems with a Large-Scale Antenna Array

This paper considers a multiple-input multiple-output (MIMO) downlink co...
05/23/2018 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Developing Far-Field Speaker System Via Teacher-Student Learning

In this study, we develop the keyword spotting (KWS) and acoustic model ...
04/14/2018 ∙ by Jinyu Li, et al. ∙ 0 ∙ share

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Speaker-Invariant Training via Adversarial Learning

We propose a novel adversarial multi-task learning scheme, aiming at act...
04/02/2018 ∙ by Zhong Meng, et al. ∙ 0 ∙ share

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Cracking the cocktail party problem by multi-beam deep attractor network

While recent progresses in neural network approaches to single-channel s...
03/29/2018 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Pedestrian-Robot Interaction Experiments in an Exit Corridor

The study of human-robot interaction (HRI) has received increasing resea...
02/15/2018 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Priority-Aware Near-Optimal Scheduling for Heterogeneous Multi-Core Systems with Specialized Accelerators

To deliver high performance in power limited systems, architects have tu...
12/08/2017 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Task Scheduling for Heterogeneous Multicore Systems

In recent years, as the demand for low energy and high performance compu...
12/08/2017 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition

Unsupervised domain adaptation of speech signal aims at adapting a well-...
11/21/2017 ∙ by Zhong Meng, et al. ∙ 0 ∙ share

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Image Quality Assessment Guided Deep Neural Networks Training

For many computer vision problems, the deep neural networks are trained ...
08/13/2017 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Improving Adherence to Heart Failure Management Guidelines via Abductive Reasoning

Management of chronic diseases such as heart failure (HF) is a major pub...
07/16/2017 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Speaker-independent Speech Separation with Deep Attractor Network

Despite the recent success of deep learning for many speech processing t...
07/12/2017 ∙ by Yi Luo, et al. ∙ 0 ∙ share

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End-to-End Attention based Text-Dependent Speaker Verification

A new type of End-to-End system for text-dependent speaker verification ...
01/03/2017 ∙ by Shi-Xiong Zhang, et al. ∙ 0 ∙ share

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Deep Clustering and Conventional Networks for Music Separation: Stronger Together

Deep clustering is the first method to handle general audio separation s...
11/18/2016 ∙ by Yi Luo, et al. ∙ 0 ∙ share

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A Physician Advisory System for Chronic Heart Failure Management Based on Knowledge Patterns

Management of chronic diseases such as heart failure, diabetes, and chro...
10/25/2016 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Single-Channel Multi-Speaker Separation using Deep Clustering

Deep clustering is a recently introduced deep learning architecture that...
07/07/2016 ∙ by Yusuf Isik, et al. ∙ 0 ∙ share

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Deep clustering: Discriminative embeddings for segmentation and separation

We address the problem of acoustic source separation in a deep learning ...
08/18/2015 ∙ by John R. Hershey, et al. ∙ 0 ∙ share

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A Novel Clustering Algorithm Based Upon Games on Evolving Network

This paper introduces a model based upon games on an evolving network, a...
12/30/2008 ∙ by Qiang Li, et al. ∙ 0 ∙ share

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Zhuo Chen

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