Nikolai Lund Kühne
Scholar

Nikolai Lund Kühne

Google Scholar ID: VB0PpvQAAAAJ
PhD Fellow, Aalborg University
Speech EnhancementDeep LearningMachine LearningSpeech Processing
Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Exploring Resolution-Wise Shared Attention in Hybrid Mamba-U-Nets for Improved Cross-Corpus Speech Enhancement
  • - MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
  • - xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
  • - Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models
  • Awards:
  • - 2025 May: Extension of DeiC compute grant with additional resources for the LUMI Supercomputer
  • - 2025 January: Awarded DeiC compute grant for access to the LUMI Supercomputer
  • - 2025 IEEE ICASSP Conference Oral Presentation
  • - 2023 AAU SEMCON (7th Semester conference) winner out of 22 participating groups
Research Experience
  • Position: Ph.D. Fellow; Work Experience: Conducting research at the Department of Electronic Systems, Aalborg University, and the Centre for Acoustic Signal Processing Research (CASPR).
Education
  • Degree: Ph.D. Fellow (4+4 joint long master's thesis and Ph.D.); University: Department of Electronic Systems, Aalborg University and Centre for Acoustic Signal Processing Research (CASPR); Advisors: Prof. Zheng-Hua Tan, Prof. Jan Østergaard, Prof. Jesper Jensen; Time: Started as Ph.D. Fellow in September 2024.
Background
  • Research Interests: Developing and evaluating the newest sequence modelling neural networks like Mamba and xLSTM for single-channel speech enhancement. Professional Field: Electronic Systems, Acoustic Signal Processing.
Miscellany
  • Personal Interests: None