Automatic music transcription of polyphonic audio

Projektinformationen

DoReMIR

ID Finanzhilfevereinbarung: 666438

DOI 10.3030/666438

Projekt abgeschlossen

EK-Unterschriftsdatum 19 Mai 2015

Startdatum 1 April 2015

Enddatum 30 September 2017

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten € 2 980 375,00

EU-Beitrag € 2 086 262,50

Koordiniert durch

DOREMIR MUSIC RESEARCH AB
Sweden

Ziel

DoReMIR Music Research has already launched several successful products for music analysis and composition and has a large user base of monophonic audio analysis worldwide. The project builds on and extends a product suite called ScoreCloud with the focus on easy creation and distribution of music notation. The ScoreCloud concept is technically built on mobile and desktop apps connected with a full cloud based back-end. The product enables users to notate music directly from performance: a Google Translate for Music!
The project will develop a low-cost, cloud-based, polyphonic audio transcription solution based on an interdisciplinary approach (musicology, acoustics, audio engineering, cognitive science and computing) and a user-driven design (agile iterative solution development with end-user participation in the context of music teaching and music composition).
In order to circumvent the limitations of current automated transcription methods, the project uses a novel approach to musical and music signal analysis, by modelling and using high-level musical knowledge (about stylistic conventions, music cognition, etc.) and machine learning techniques. In addition to finding better solutions to certain analysis problems, the resulting systems will also be able to communicate their results in musically meaningful, high-level terms.

Wissenschaftliches Gebiet

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › signal processing
• natural sciences › physical sciences › acoustics
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• humanities › arts › musicology
• social sciences › psychology › cognitive psychology

Programm/Programme

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme
• H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument

Thema/Themen

• ICT-37-2014 - Open Disruptive Innovation Scheme (implemented through the SME instrument)

Aufforderung zur Vorschlagseinreichung

H2020-SMEInst-2014-2015

Andere Projekte für diesen Aufruf anzeigen

Unterauftrag

H2020-SMEINST-2-2014

Finanzierungsplan

SME-2 - SME instrument phase 2

Koordinator

DOREMIR MUSIC RESEARCH AB

• Netto-EU-Beitrag: € 2 086 262,50
• Adresse: TEGNERGATAN 15 ; 111 40 STOCKHOLM ; Schweden
• KMU Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen). Ja:
  Region
  Östra Sverige › Stockholm › Stockholms län
• Region: Östra Sverige › Stockholm › Stockholms län
• Aktivitätstyp: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Gesamtkosten: € 2 980 375,00