Skip to content
View Ziforge's full-sized avatar
  • Trondheim

Block or report Ziforge

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ziforge/README.md

George Redpath (Ziforge)

Audio DSP Engineer & Researcher

MSc Sound and Music Computing | Aalborg University (AAU) | Erasmus Exchange at NTNU Trondheim


About

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

Technical Skills

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


Education

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)

Collaboration Interests

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

Contact

Email: ghredpath@hotmail.com

GitHub: @Ziforge

Location: Norway (NTNU Trondheim)


Statistics

GitHub Stats

Top Languages


Built with precision for audio signal processing and electronic music research.

Popular repositories Loading

  1. Neuroverse Neuroverse Public

    An adaptive VR platform designed to build empathy between neurodivergent and neurotypical individuals through shared, personalized sensory experiences. Built with Unity, C#, ML.NET, and TensorFlow …

    C# 2 2

  2. Ziforge Ziforge Public

    Config files for my GitHub profile.

  3. CollabLibrosaParty CollabLibrosaParty Public

    Music Information Retrieval tutorials with librosa. Google Colab notebooks covering beat tracking, HPSS, MFCC, chromagram analysis, and time-frequency visualization for audio signal processing educ…

    Jupyter Notebook

  4. XR-Interaction-Toolkit-Examples XR-Interaction-Toolkit-Examples Public

    Forked from Unity-Technologies/XR-Interaction-Toolkit-Examples

    This repository contains various examples to use with the XR Interaction Toolkit

    C#

  5. CirklonSynthDefs CirklonSynthDefs Public

    Sequentix Cirklon instrument definitions (.cki) for hardware synthesizers. MIDI CC mappings for comprehensive parameter control. Currently includes Plinky synthesizer (synth + sampler modes).

  6. bird-net-batch-analysis bird-net-batch-analysis Public

    BirdNET batch bioacoustic analysis pipeline. Automated bird species detection with YIN f0 estimation, LPC formant analysis, and Audacity integration for ornithological research.

    Jupyter Notebook