معرفی
Sebastian Jiro Schlecht is a Visiting Professor at Aalto University's Department of Information and Communications Engineering, affiliated with the Virtual Acoustics research group. His work focuses on audio signal processing, feedback delay networks, and differentiable audio systems.
- Email: ext-sebastian.schlecht@aalto.fi
- Phone: +358505176093
Research interests include:
- Audio signal processing and room acoustics
- Feedback delay networks (FDNs) for colorless reverberation
- Time-frequency analysis and optimal transport for audio similarity
- Deep learning applications for room impulse response completion
- Polynomial eigenvalue decomposition for audio modeling
- Open-source audio processing libraries like FLAMO
Scientific awards:
- Best Paper Award of the DAFx-23 Conference (2023)
- 3rd Best Paper Award at DAFx 2022 (2022)
- 3rd Best Paper Award at DAFx 2021 (2021)
- Best Paper Award of the Journal of the AES 2019 (2020)
- Best Paper Award at WASPAA 2019 (2019)
- Second Best Paper Award at DAFX-18 (2018)
Recent publications demonstrate expertise in frequency-domain differentiable audio processing, optimized FDNs for reverberation, and novel applications of optimal transport and deep learning in audio modeling. His work bridges mathematical rigor with practical implementations in acoustics and signal processing.
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