Lucas and Luna explore how modern apps analyse piano chords on-device using machine learning, from the raw audio pipeline to the neural network that maps frequency patterns to chord names. They break down the real-time constraints, the trade-off between polyphony and accuracy, and how apps like Yousician and Simply Piano handle the challenge. Specific numbers include a typical model size of around 5 megabytes and inference under 50 milliseconds on a flagship phone. The episode also touches on how this compares to cloud-based approaches and why latency matters for practice. A concrete example: detecting a Cmaj7 in first inversion with a confidence threshold of 90%.

#PianoChordRecognition #OnDeviceAI #AudioProcessing #MachineLearning #RealTime #MusicTech #MobileAppDevelopment #iOS #Android #FourierTransform #NeuralNetworks #Yousician #SimplyPiano #Latency #Polyphony #Technology #FexingoBusiness #BusinessPodcast

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