Szu-Wei Fu  

 



  ![](/sites/default/files/person/Szu-Wei_Fu.jpg)

  

 Szu-Wei Fu joined NVIDIA Research in November 2022. His current interests include ML-based audio-visual processing, speech processing/enhancement, and quality estimation. Before Joined NVIDIA, he was an applied scientist in Microsoft.



   Research Area(s)

[Applied Perception](/research-area/applied-perception)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=eSGkKm4AAAAJ&hl=en](https://scholar.google.com/citations?user=eSGkKm4AAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations](/publication/2025-08_voicenong-robust-high-quality-speech-editing-model-without-hallucinations)

[Sung-Feng Huang](/person/sung-feng-huang), Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Pin-Jui Ku, Ante Jukić, [Huck Yang](/person/huck-yang), Yu Tsao, [Frank Wang](/person/frank-wang), Hung-yi Lee, [Szu-Wei Fu](/person/szu-wei-fu)



[Interspeech 2025](https://www.interspeech2025.org/home)









### 2024 

[Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits](/publication/2024-12_detecting-undetectable-assessing-efficacy-current-spoof-detection-methods)

[Sung-Feng Huang](/person/sung-feng-huang), Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, [Huck Yang](/person/huck-yang), Yu Tsao, [Frank Wang](/person/frank-wang), Hung-yi Lee, [Szu-Wei Fu](/person/szu-wei-fu)



[IEEE SLT 2024](https://2024.ieeeslt.org/)