Alexandre R.J. François

  • Hands on leader, problem solver, educator and mentor
  • Interests: design, analysis and implementation of interactive software systems
  • Skills: audio and video computing, music computing, computer vision, computer graphics

LinkedIn || GitHub || YouTube
Academia || research | publications | presentations | events | teaching

Resonate Resonate is a low latency, low memory footprint, and low computational cost algorithm to evaluate perceptually relevant spectral information from audio (and other) signals.

“Resonate: Efficient Low Latency Spectral Analysis of Audio Signals” received the Best Paper Award at the 50th Anniversary of the International Computer Music Conference 2025, which took place June 8-14 in Boston, MA, USA.

I will give a late breaking demonstration of Resonate-based real-time, low latency audio features computation at the First AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), London, Sept. 8-10, 2025.

I will give a talk titled “Real-time, low latency and high temporal resolution spectrograms” on the implementation of Resonate and resonate-based spectrograms at the Audio Developer Conference, Bristol, November 10-12.

The Resonate Store is live!
Resonate logo mug Resonate spectrogram t-shirt

Published Apps

  • Oscillators: Experiment with digital resonators.
  • MuSA_RT: Experience a visual representation of tonal patterns - pitches, chords, key - in music as it is being performed.
  • Priorities: Simply manage lists of prioritized items.
  • Purr: Soothe Your Screen Time. Mindful vibes. Cat included.
  • BreathWheel: Breathe. You’re in control.

Open Source Projects

  • Oscillators: Digital oscillator models for signal synthesis and analysis, suitable for real-time audio processing.
  • noFFT: A reference implementation of the Resonate algorithm in C++ for Python.
  • WheelControl: A SwiftUI wheel control with multiple speeds.

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