NDLI: MusicScore: Mobile Music Composition for Practice and Fun

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MusicScore: Mobile Music Composition for Practice and Fun

Content Provider	CiteSeerX
Author	Liu, Zimu Feng, Yuan Li, Baochun
Abstract	In this paper, we present our design of MusicScore, a professional grade application on the iOS platform for music composition and live performance tracking, used by composers and amateurs alike. As its foundation, we have designed and implemented a high-quality music engraver, capable of real-time interactive rendering on mo-bile devices, as well as an intuitive user interface based on multi-touch, both built from scratch using Objective-C and Cocoa Touch. To make MusicScore appealing to the general population for their practice and fun, we have introduced a unique auditory capability to MusicScore, so that it can “listen ” to and analyze live instrument performance in real time. In order to compensate for the imper-fect audio sensing system on mobile devices, we have proposed a collaborative sensing solution to better capture music signals in real time. To maximize the accuracy of live progress tracking and performance evaluation using a mobile device, we have designed a collection of note detection and tempo-based note matching algo-rithms, using a combination of microphone and accelerometer sen-sors. Based on our real-world implementation of MusicScore, ex-tensive evaluation results show that MusicScore can achieve accept-ably low error ratios, even for music pieces performed by highly inexperienced players.
File Format	PDF
Access Restriction	Open
Subject Keyword	Mobile Music Composition Mobile Device Professional Grade Application Intuitive User Interface Capture Music Signal Real-world Implementation Inexperienced Player Real-time Interactive Rendering Live Performance Tracking Note Detection High-quality Music Engraver Low Error Ratio Live Progress Tracking Tempo-based Note Io Platform Cocoa Touch Live Instrument Performance Accelerometer Sen-sors Imper-fect Audio Sensing System Performance Evaluation Mo-bile Device General Population Music Piece Collaborative Sensing Solution Music Composition Ex-tensive Evaluation Result Unique Auditory Capability
Content Type	Text

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