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Hidden Markov Models are commonly-used statistic models for sequential data often used in topics like speech recognition. Music has been composed through algorithms for a long time and recently with the improvement of deep learning methods, algorithms and models are now being used more and more to generate art. This talk will explore the usage of Hidden Markov Models with Swift in composing music, particularly Disney-like music. Various Hidden Markov Models will be trained on Disney music pieces and you will together with Lizzie consider the models’ ability to create new pieces that sound like they're from Disney.
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Lizzie is a San Francisco-based developer evangelist with Twilio and recent graduate of Bryn Mawr College in computer science. Besides iOS development with Swift, she enjoys reading, running, ping pong, and tennis.