Music Generation with Azure Machine Learning

This post is authored by Erika Menezes, Software Engineer at Microsoft. Using deep learning to learn feature representations from near-raw input has been shown to outperform traditional task-specific feature engineering in multiple domains in several situations, including in object recognition, speech recognition and text classification. With the recent advancements in neural networks, deep learning has been gaining popularity in computational creativity tasks such as music generation. There has been great progress in this field via projects such as Magenta, an open-source project focused on creating machine learning projects for art and music, from the Google Brain team, and Flow Machines, who have released an entire AI generated pop album. For those of you who are curious about music generation, you can find additional resources here.