Dr Callum Goddard
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.
Type of Project | P05 - Government Research Grants |
---|---|
Project Acronym | MAESTRO |
Status | Project Live |
Funder(s) | Innovate UK |
Value | £24,999.00 |
Project Dates | Jul 1, 2024 - Jun 30, 2026 |
You might also like
IIDI & Jupiter Artland Foundation Jul 1, 2011 - Nov 1, 2011
This project involved developing audio guides for Jupiter Artland. A traditional audio guide was developed, including introductions of the work and discussions from the artists. Alongside this was an extension of a long-term collaboration between J...
Read More about IIDI & Jupiter Artland Foundation.
Gaze tracking through in-ear sensing Jan 1, 2019 - Apr 30, 2019
Eye-tracking is an increasingly popular technique in which user’s eye movements are captured by a computer system, allowing it to ascertain where the user is looking in a display or visual scene (fixations), and the sequence in which these fixations...
Read More about Gaze tracking through in-ear sensing.
CAROUSEL+ Telepresent Dance Reducing Social Distancing Jan 1, 2021 - Dec 31, 2024
CAROUSEL focuses on how Augmented Reality (AR) and Artificial Intelligence (AI) technologies improve the quality of experience and social interaction in the frame of live virtual and hybrid events in the future. The Internet has developed until now i...
Read More about CAROUSEL+ Telepresent Dance Reducing Social Distancing.
Platform to platform: an investigation into audience engagement with digitised archives and its transformative impact across different online formats Feb 2, 2022 - Jul 31, 2022
This project was closely tied to two goals of the AHRC/Creative Informatics call: unlocking value from digitised heritage content, and online performance.
In respect of ‘unlocking value from digitised heritage’, the practical aspect of the research...
Read More about Platform to platform: an investigation into audience engagement with digitised archives and its transformative impact across different online formats.
BSL in Embodied Music Interaction Feb 1, 2022 - Apr 30, 2023
This is an exploratory study in the field of Embodied Music Interaction (EMI) to greater understand how British Sign Language (BSL) interpreters categorise music for the hearing impaired. EMI looks at how music makes us move, the affordances of soun...
Read More about BSL in Embodied Music Interaction.