Journal of New Music Research · 2015 · 27 citations · 35 references
MusicEngineeringLow-latency Pitch DetectionMeasurementMotion CaptureWearable TechnologyEducationSpeech ProcessingInstrumentationPerformance TrackingAcoustic CameraOptical Music RecognitionTracking SystemReal-time Methods
This paper presents two low-cost, real-time methods for performance tracking on the violin. Low-latency pitch detection is achieved by using finger position measurements from a resistive fingerboard to inform audio analysis; the combination outperforming audio-only methods. Bow position and pressure are tracked using four optical reflectance sensors placed on the bow stick, allowing the displacement of the hair to be measured under the force of the string. Both sensor arrangements for this system can be fitted to existing violins without damaging the instrument. A case study demonstrating the utility of these techniques is presented finding fingered and bowed note onsets during performance.
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Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22K citations
Pattern Recognition and Machine Learning
Radford M. Neal · Technometrics · 2007 · 4.6K citations
Artificial Intelligence, Data Classification, Classification Method +10