معرفی
Herbert Buchner is a researcher affiliated with the University of Cambridge in the Information Engineering Division, focusing on Machine Learning for Signal Processing and Human-Machine Interfaces.
- Research Interests: Acoustic scene analysis, biomedical interfaces, haptic systems, wave-domain adaptive filtering, and sensor networks.
- Applications: Speech recognition, wavefield synthesis, active noise control, and full-duplex communication systems.
His work explores TRINICON (a framework for broadband adaptive MIMO filtering), blind source separation, and wave-domain filtering, emphasizing theoretical rigor and real-time implementation.
- Key Awards:
- Best Paper Award at ITG Conference on Speech Communication (2008)
- Best Student Paper Award at IEEE Intl. Workshop on Acoustic Echo and Noise Control (2001)
Publications highlight 15 recent articles in areas like:
- Wave-Domain Adaptive Filtering
- Blind Source Separation for Convolutive Mixtures
- Robust Extended Multidelay Filters
- Multichannel Acoustic Echo Cancellation
- Active Room Compensation
- Biomedical Signal Processing
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