Automatic music transcription of polyphonic audio

Informazioni relative al progetto

DoReMIR

ID dell’accordo di sovvenzione: 666438

DOI 10.3030/666438

Progetto chiuso

Data della firma CE 19 Maggio 2015

Data di avvio 1 Aprile 2015

Data di completamento 30 Settembre 2017

Finanziato da

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

Costo totale € 2 980 375,00

Contributo UE € 2 086 262,50

Coordinato da

DOREMIR MUSIC RESEARCH AB
Sweden

Obiettivo

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.

Campo scientifico

• 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

Programma(i)

• 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

Argomento(i)

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

Invito a presentare proposte

H2020-SMEInst-2014-2015

Vedi altri progetti per questo bando

Bando secondario

H2020-SMEINST-2-2014

Meccanismo di finanziamento

SME-2 - SME instrument phase 2

Coordinatore

DOREMIR MUSIC RESEARCH AB

• Contribution nette de l'UE: € 2 086 262,50
• Indirizzo: TEGNERGATAN 15 ; 111 40 STOCKHOLM ; Svezia
• PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì:
  Regione
  Östra Sverige › Stockholm › Stockholms län
• Regione: Östra Sverige › Stockholm › Stockholms län
• Tipo di attività: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Costo totale: € 2 980 375,00