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Xin Wang

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Project Associate Professor

National Institute of Informatics

Japan

Research Interests

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Professors in Japan

Recent Grants

Grant: Open

Unified Framework for Speaker Privacy Protection and Fake Voice Detection

Open Date: 2023-10-01

Close Date: 2027-03-01

Grant: Close

Speech privacy protection by high-quality, invertible, and extendable speech anonymization and de-anonymization

Open Date: 2021-04-01

Close Date: 2024-03-01

Grant: Close

One model for all sounds: fast and high-quality neural source-filter model for speech and non-speech waveform modeling

Open Date: 2019-08-01

Close Date: 2021-03-01

Articles (30)

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Collaborators (12)

Natalia Tomashenko

Avignon Université

FRANCE

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Yishu Zhang

Assistant Professor

Zhejiang University

CHINA

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Xiuqiang He

Assistant Professor

Tsinghua University

CHINA

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Marc Tommasi

Université de Lille

FRANCE

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Donny Soh

Assistant Prof

Singapore Institute of Technology

SINGAPORE

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Lin Zhang

Brno University of Technology

CZECH REPUBLIC

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Tomoki Toda

Nagoya University

JAPAN

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Kong Aik Lee

Associate Professor

The Hong Kong Polytechnic University

HONG KONG

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Sébastien Le Maguer

University of Helsinki

FINLAND

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Ian McLoughlin

Professor [was Cluster Director. i.e. Faculty Dean 2020-2024]

Singapore Institute of Technology

SINGAPORE

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jean-francois Bonastre

Associate Professor

Avignon Université

FRANCE

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Qiuzhen Lin

Professor

Shenzhen University

CHINA

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Xin Wang

Research Interests

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Recent Grants

Articles (30)

An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification

ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech

FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning

Learning Relationship Between Speaker Embeddings and Descriptions of Speaker Traits

Planning-Operation Coordinated Mitigation for Load Redistribution Attacks in Optimal Power Flow With Phase Shifting Transformers

Poisoning Attack on Federated Learning with Non-IID Data: A Historical-Global-Model-Based Approach

PrivLSTM: A privacy-preserving LSTM inference framework by fusing encryption and network structure for multi-sourced Data

Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation

A Benchmark for Multi-Speaker Anonymization

A Byzantine Client Detection Method for Federated Learning Based on Encrypted Repeated Median Linear Regression

A Comparative Study on Proactive and Passive Detection of Deepfake Speech

A Defense Method Against Zero-Dynamics Attack on Wind Power System

ADP-VRSGP: Decentralized Learning With Adaptive Differential Privacy via Variance-Reduced Stochastic Gradient Push

An Autoencoder-Based Black-Box Adversarial False Data Injection Attack Against Smart Grid

Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis

Black-box adversarial attacks on deep reinforcement learning-based proportional–integral–derivative controllers for load frequency control

Bridging Privacy Preservation and Optimization in Heterogeneous Decentralized Learning: Regularization Tuning and Model Pruning

Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-Calibration and Merit-Discrimination

Cooperative Detection for Dynamic Marine Targets Based on Improved A-star Algorithm

DFed-LaMA: Differentially Private Federated Learning via Adaptive Layer-Wise Model Aggregation

The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance

Privacy and Utility of X-Vector Based Speaker Anonymization

The VoicePrivacy 2020 Challenge: Results and findings

ASVspoof 2019: Spoofing Countermeasures for the Detection of Synthesized, Converted and Replayed Speech

Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis

A vector quantized variational autoencoder (VQ-VAE) autoregressive neural F0 model for statistical parametric speech synthesis

ASVspoof 2019: a large-scale public database of synthetized, converted and replayed speech

Modeling of Rakugo Speech and Its Limitations: Toward Speech Synthesis That Entertains Audiences

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Neural source-filter waveform models for statistical parametric speech synthesis

Collaborators (12)

Natalia Tomashenko

Yishu Zhang

Xiuqiang He

Marc Tommasi

Donny Soh

Lin Zhang

Tomoki Toda

Kong Aik Lee

Sébastien Le Maguer

Ian McLoughlin

jean-francois Bonastre

Qiuzhen Lin

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