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This workshop dives into Machine Learning for Audio, offering a hands-on experience for enthusiasts. Starting with the basics of audio processing, participants will learn key feature extraction techniques like Mel-Frequency Cepstral Coefficients (MFCCs). We'll explore various machine learning models, focusing on their application in audio tasks like voice recognition and music classification. The workshop includes practical exercises, guiding attendees through real-world audio ML projects. Towards the end, we'll touch on the latest trends in audio ML, including neural networks for sound generation. This workshop is perfect for those looking to merge their interest in machine learning and audio technology.

Note: Some background in machine learning and basic programming skills (ideally in Python) is helpful for this workshop.