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Explore sound event detection with machine learning in this 39-minute conference talk from EuroPython 2021. Discover how to build a basic sound event detection system using Python, with beer brewing fermentation tracking as a practical example. Learn to collect and explore custom datasets, set up supervised learning tasks, extract spectrogram features from audio waveforms, and train convolutional and recurrent neural networks. Gain insights into running trained models on real-time audio streams, processing model output probabilities into discrete events, and evaluating system performance. Access example code utilizing Keras, TensorFlow, scikit-learn for machine learning, and pysoundfile, sounddevice, and librosa for audio processing, along with numpy and pandas for data manipulation.
