Improve clap detection using machine learning

[iver56]

Just looking for transients is not good enough because it results in a lot of false positives. A better approach would be machine learning

• Discard background noise. Sample the noise while the spectrum is not in flux.
• Train a neural network to recognize clap sounds but reject other types of sounds with a transient.

[iver56]

Factors that can be useful:

• Spectrum
• Spectral flux
• Inharmonicity
• Noisiness
• Spectral centroid
• Average spectrum of background noise

[iver56]

One way to do it would be to have one neural network that recognizes transients that might be created by clap sounds, and then have another neural network that checks the broader context to verify that it is really a clap.