Project Maestro - Ai Musical Analysis Platform

Project Description

The Project Objective Algorivm will work in collaboration with our project partners Queen Mary University London and Edinburgh Napier University to develop a groundbreaking Artificial Intelligence and Machine Learning digital musical analysis platform. Our system will deliver significant benefits for music students, teachers, schools colleges and performing musicians of all playing abilities. The project will be 24 months in duration and will incorporate a school user trial that will demonstrate Algorivm's functionality and readiness for commercialisation.

Maestro Platform Utilises synthesised verbal feedback and is a voice command capable user interface working alongside cutting edge audio-to-score alignment, automatic-music-transcription and score-informed transcription technology. Our system is a unique-centralised-hub designed to incorporate additional musical instruments. This capability allows the user to analyse any sheet music and any musical instrument. Maestro will produce instrument specific algorithms that will be constantly improving due to the nature of Machine Learning.

Technology Revolutions MIDI (Musical Instrument Digital Interface) had a huge impact on its introduction in the 1980s. Initially, there was significant resistant and even boycotts of musical performances by musicians as they thought MIDI would replace musicians. However, today MIDI is industry standard which revolutionised music and created a hugely positive development for musicians all over the world. The world is currently undergoing a new technology revolution in artificial intelligence and just like MIDI it will effect musicians all over the world.

Algorivm's Vision is to create an invaluable Ai-assistant that will work alongside music teachers, students and professional level musicians to greatly enhance and enrich the experience of teaching, learning and practising a musical instrument. We will achieve this by ensuring the important human aspects of learning and teaching music remains whilst incorporating the huge benefits of Artificial intelligence and machine learning technology.

There are four stages to Algorivm's vision. Stage 1 is the development of Algorivm's music analysis software. Stage 2 is the auditory aspect of our user interface. This includes verbal feedback and voice commands in addition to synthesised audience feedback based on the users performance level. We will also offer stereo spatialisation methods, particularly useful to users that have visual impairment. Stage 3 is Ai recommended pieces to practice and Stage 4 is video analysis via a users device' camera to measure their physical techniques. This project will complete stages 1 and 2. Stages 3 and 4 will be completed post project.