Audio DSP Engineer & Researcher
MSc Sound and Music Computing | Aalborg University (AAU) | Erasmus Exchange at NTNU Trondheim
I specialize in digital signal processing for audio, physical modeling synthesis, and embedded audio systems. My work spans acoustic research, real-time DSP implementation, machine learning for music, and hardware synthesis integration.
Current Focus:
- Acoustic signal processing and music information retrieval
- Physical modeling synthesis (Karplus-Strong, digital waveguides, FDTD)
- Virtual analog filter emulation (machine learning + DSP hybrid approaches)
- Spatial audio rendering (binaural HRTF synthesis, ITD/ILD modeling)
- Real-time embedded audio (Bela, Daisy, Faust)
Interests:
- RF and wireless audio transmission
- Instrument building and acoustics
- Psychoacoustics and spatial hearing
- Modular synthesis (Eurorack) and CV control
- Affective computing for musical expression
Programming Languages: C++, Python, VHDL/Verilog (FPGA), MATLAB, Faust
Hardware Platforms: Zybo Z-20 (FPGA), Bela, Electrosmith Daisy
DSP Libraries: NumPy, SciPy, librosa, PyTorch, ONNX, JUCE
Signal Processing: STFT, filter design (IIR/FIR), convolution, wavelet transforms, adaptive filters
Machine Learning: CNNs, WaveNet, residual learning, transfer learning, PyTorch/TensorFlow
Synthesis Hardware: Eurorack modular, Expert Sleepers ES-9, MIDI controllers, Sequentix Cirklon
Acoustics: Room acoustics, spatial audio, psychoacoustics, HRTF measurement
Tools: Git, Jupyter, Google Colab, LaTeX, Mermaid, Vivado, Quartus
MSc Sound and Music Computing — Aalborg University (AAU), Denmark
- Erasmus exchange at NTNU Trondheim, Norway (extended for thesis)
Research Collaborations:
- NTNU Acoustics coursework (TTT4181, TTT4295)
- Harman International — Spatial audio research (HRTF, perceptual attributes)
I'm open to collaborating on:
- Audio DSP algorithm development
- Real-time embedded audio systems
- Machine learning for music and audio
- Physical modeling synthesis
- Spatial audio and psychoacoustics
- Open-source audio tools and libraries
- Music technology education
Email: ghredpath@hotmail.com
GitHub: @Ziforge
Location: Norway (NTNU Trondheim)
Built with precision for audio signal processing and electronic music research.

