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Tuesday, July 1 • 14:00 - 15:10
Low-Latency Audio Pitch Tracking: A Multi-Modal Sensor-Assisted Approach

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Low-Latency Audio Pitch Tracking: A Multi-Modal Sensor-Assisted Approach
Laurel Pardue, Dongjuan Nian, Christopher Harte, Andrew McPherson
Queen Mary University of London

Long Paper

This paper presents a multi-modal approach to musical instrument pitch tracking combining audio and position sensor data. Finger location on a violin fingerboard is measured using resistive sensors, allowing rapid detection of approximate pitch. The initial pitch estimate is then used to restrict the search space of an audio pitch tracking algorithm. Most audio-only pitch tracking algorithms face a fundamental tradeoff between accuracy and latency, with longer analysis windows producing better pitch estimates at the cost of noticeable lag in a live performance environment. Conversely, sensor-only strategies struggle to achieve the fine pitch accuracy a human listener would expect. By combining the two approaches, high accuracy and low latency can be simultaneously achieved.


Andrew McPherson

Lecturer in Digital Media, Queen Mary University of London
Andrew McPherson is an electronic engineer, composer and instrument designer. His research focuses on augmented acoustic instruments and new performance interfaces which build on traditional instrumental training. Recent projects include the magnetic resonator piano (electromagnetically-augmented... Read More →

Tuesday July 1, 2014 14:00 - 15:10 BST
New Academic Building: LG02

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