Periodic Reporting for period 1 - MorpheuS (Hybrid Machine Learning – Optimization techniques To Generate Structured Music Through Morphing And Fusion)
Reporting period: 2015-06-01 to 2017-05-31
Finally, we explored the power of deep learning methods for capturing musical style. These models which, include a semantic vector space model and long-short term models that implements a novel musically inspired image representation, confirm the huge potential of deep learning in this field. The researcher also organized the first International Workshop on Deep Learning and Music and Machine Learning, joint with the International Joint Conference of Neural Networks in Anchorage, US. The presence of 50+ registered participants and speakers from both Google and Pandora, testify to the potential of deep learning techniques for music composition.
In order to facilitate the music research of music analysts and music cognition researchers, and demonstrate the developed tension model, an interactive multimodal website, called IMMA, was developed to visualise both audio and score characteristics in sync with their score and audio performance. We plan to further extend this platform to a widely used music analysis platform and score repository.