It is an intelligent music learning app based on sound and motion real-time analysis, and artificial intelligence technology.
It empowers students with tools to detect and correct errors, build awareness of their technique, and allow them to practise more efficiently alone or in a class setting.
It is designed with a wide range of student levels in mind, from beginners to professional players.
Catalogue of exercises and pieces from beginner to advanced levels. Reference database of multimodal recordings of experts performing the pieces in the catalogue.
Personalized practice based on individual goals and achievements. A dynamic pedagogical system with multiple possible paths to enhance your music level and tailor your skills development.
AI-based multimodal analysis and real-time feedback about sound quality, intonation, pitch, timing, dynamics, gestures and expression.
In instruments such as the violin, clarinet and trumpet, good sound production is one of the first skills to acquire. SkyNote allows you to improve it using Artificial Intelligence and Audio Analysis
In music performance playing the correct note (i.e. pitch) at the correct time (i.e. rhythm) is of paramount importance. SkyNote provides pitch and timing accuracy visual feedback to music students.
Mastering an instrument technique is of paramount importance. SkyNote provides students with real-time feedback on their gestures using Artificial Intelligence and motion capture techniques.
Using Artificial Intelligence and audio analysis, SkyNote provides real-time feedback about the accuracy of bow stroke techniques such as Detaché, Martelé, Spiccato, Ricochet, Sautillé, Staccato and Bariolage, among others.
Selected Papers
We are a team of researchers and developers experts in music and machine learning
PhD in Computer Science.
Head of the Music and Machine Learning Lab (UPF))
