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结合运动捕捉和传感器从小提琴演奏中提取弓法参数。

Extraction of bowing parameters from violin performance combining motion capture and sensors.

机构信息

Department of Speech Music and Hearing, School of Computer Science and Communication, KTH, Lindstedtsvagen 24, SE-100 44 Stockholm, Sweden.

出版信息

J Acoust Soc Am. 2009 Nov;126(5):2695-708. doi: 10.1121/1.3227640.

DOI:10.1121/1.3227640
PMID:19894846
Abstract

A method is described for measurement of a complete set of bowing parameters in violin performance. Optical motion capture was combined with sensors for accurate measurement of the main bowing parameters (bow position, bow velocity, bow acceleration, bow-bridge distance, and bow force) as well as secondary control parameters (skewness, inclination, and tilt of the bow). In addition, other performance features (moments of on/off in bow-string contact, string played, and bowing direction) were extracted. Detailed descriptions of the calculations of the bowing parameters, features, and calibrations are given. The described system is capable of measuring all bowing parameters without disturbing the player, allowing for detailed studies of musically relevant aspects of bow control and coordination of bowing parameters in bowed-string instrument performance.

摘要

本文介绍了一种用于测量小提琴演奏中整套琴弓参数的方法。光学运动捕捉与传感器相结合,可精确测量主要琴弓参数(琴弓位置、琴弓速度、琴弓加速度、琴弓与琴桥的距离和琴弓力)以及次要控制参数(琴弓的偏斜度、倾斜度和倾斜角)。此外,还提取了其他演奏特征(琴弓与琴弦接触的开启和关闭瞬间、琴弦的弹奏和琴弓的演奏方向)。文中详细描述了琴弓参数、特征和校准的计算方法。该系统能够在不干扰演奏者的情况下测量所有琴弓参数,从而可以深入研究与琴弓控制和弓在弦乐器演奏中协调相关的音乐方面。

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