Automatic music transcription of polyphonic audio

Informacje na temat projektu

DoReMIR

Identyfikator umowy o grant: 666438

DOI 10.3030/666438

Projekt został zamknięty

Data podpisania przez KE 19 Maja 2015

Data rozpoczęcia 1 Kwietnia 2015

Data zakończenia 30 Września 2017

Finansowanie w ramach

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

Koszt całkowity € 2 980 375,00

Wkład UE € 2 086 262,50

Koordynowany przez

DOREMIR MUSIC RESEARCH AB
Sweden

Cel

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.

Dziedzina nauki

• 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

Program(-y)

• 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

Temat(-y)

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

Zaproszenie do składania wniosków

H2020-SMEInst-2014-2015

Zobacz inne projekty w ramach tego zaproszenia

Szczegółowe działanie

H2020-SMEINST-2-2014

System finansowania

SME-2 - SME instrument phase 2

Koordynator

DOREMIR MUSIC RESEARCH AB

• Wkład UE netto: € 2 086 262,50
• Adres: TEGNERGATAN 15 ; 111 40 STOCKHOLM ; Szwecja
• MŚP Organizacja określiła się jako MŚP (firma z sektora małych i średnich przedsiębiorstw) w czasie podpisania umowy o grant. Tak:
  Region
  Östra Sverige › Stockholm › Stockholms län
• Region: Östra Sverige › Stockholm › Stockholms län
• Rodzaj działalności: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Koszt całkowity: € 2 980 375,00