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Welcome
*******
.. figure:: pic/20_wan_photo.jpg
:align: right
:height: 200
I am Xin Wang, a postdoc researcher at `Yamagishi Lab `__, National Institute of Informatics (`NII `__), Japan. I learned a lot from my supervisors at NII and USTC and many colleagues around the world.
My research interests include
* Speech information processing
* Speech synthesis
* Speech deepfake detection & anonymization
See more in my :ref:`label-resume`.
.. raw:: html
.. I am studying speech processing and machine learning, and I learned a lot from my supervisors at NII and USTC and many colleagues around the world.
.. My `Researchmap site `_ and `Google Scholar page <>`_. Researchmap is the official website for researchers in Japan.
.. Contact
.. =======
.. Please send email to wangxin ~a~t~ nii dot ac dot jp.
.. Messages
.. ========
Messages:
*2025.04*
Please join us at the ASRU 2025 special session on `Frontiers in Deepfake Voice Detection and Beyond `__
Work done with Xiaoxiao is accepted by IEEE Trans. Information Forensics and Security: `A benchmark for multi-speaker anonymization `__
Work done with Wanying is accepted by ICLR2025 workshop on Watermark: `Proactive Detection of Speaker Identity Manipulation with Neural Watermarking `__
*2024.12.20*
ASVspoof 5 database has been released. Check `Download link on zenodo `__
(added 2025.06) ASVspoof 5 data paper has been accepted by `CSL `__
*2024.08.31*
ASVspoof 5 workshop was held at Kos island, Greece. Check the proceeding `on ISCA `__
*2024.04.18*
`Slides `__ for ICASSP paper: Can Large-Scale Vocoded Spoofed Data Improve Speech Spoofing Countermeasure with a Self-Supervised Front End?
*2023.11.20*
`Slides `__ for high-level summaries of DSP+DNN vocoders and another one on anti-spoofing using spoofed data.
*2023.10.01*
My JST PRESTO project official starts. It is about speech anti-spoofing, privacy, and verification. See more in `this post `__. My title is also promoted to Project Associate Professor.
*2023.08.20*
Interspeech 2023 tutorial on anti-spoofing has been uploaded to `Github `__.
*2023.03.06*
Slides for SPSC webinar presentation on "Using vocoders to create spoofed training data for speech spoofing countermeasures" can be found in `Slide page `__.
This is a presentation for `ICASSP 2023 paper `__. The code, pre-trained models, and other resources are available at `this repo `__.
*2022.09.30*
Jupyter notebook of the tutorials on speaker anonymization is available at `Slide page `__.
*2022.05.27*
The materials for ICASSP short course on neural vocoders are available on `Google colab `_. The old contents are re-edited, and new contents are available (including NSF-HiFiGAN).
*2022.01.04*
Slides for JST Science Agora talk on speech spoofing detection is available: :ref:`label-slide-2021-oct-1`. There are many spoofing audio samples under various conditions. You can try to detect which one is spoofed.
*2021.12.04*
The slides for the talk on speech anti-spoofing and anonymization are uploaded. **Two Speech Security Issues after Speech Synthesis Boom**, 2021 Dec, a talk given at CCF. :ref:`label-slide-2021-dec-1`
*2021.09.01*
The ASVspoof 2021 Workshop, an official Interspeech 2021 satellite event, will be held online in the form of a Zoom Webinar on **September 16th, 2021**.
The tentative technical program is available from `the ASVspoof website `_
The registration link is `here `_
*2021.07.30*
Tutorials on neural vocoders for SPCC 2021 have been uploade online
1. Slides are available on `Slideshare `_ ;
2. Hands-on materials on some vocoders (WaveNet, WaveGlow, Blow, NSF) are added to git repo. Please check the `tutorials `_ folder.
*2021.04.01*
Pytorch project is updated https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts:
1. Accumulated commits over the last year;
2. Projects on ASVspoof: many pre-trained models and training recipes;
*2020.10.27*
New slides have been uploaded:
1. Interspeech 2020 presentation for Cyclic-noise NSF: :ref:`label-slide-conf-landing`
2. Odyssey tutorial presentation: :ref:`label-slide-conf-landing`
*2020.08.30*
Repositories from my personal git account have been moved to https://github.com/nii-yamagishilab, including:
1. CURRENNT and related source codes: https://github.com/nii-yamagishilab/project-CURRENNT-public
2. CURRENNT scripts for model training: https://github.com/nii-yamagishilab/project-CURRENNT-scripts
*2020.08.20*
Tutorial materials on Pytorch NSF models are `uploaded `_. They are based on Jupyter notebooks and can be run on laptop with CPU;
*2020.06.31*
Pytorch re-implementation of NSF models is available: https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts
.. toctree::
:hidden:
:maxdepth: 1
self
resume
Research overview
Research PRESTO
Talk & slides