A time-domain approach to estimating the plucking point of guitar tones obtained with an under-saddle pickup

Penttinen, Henri; Välimäki, Vesa

doi:10.1016/j.apacoust.2004.04.008

Cited by 18 publications

(15 citation statements)

References 5 publications

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“…Other types of measuring techniques can also be found, including methods based on capacitive sensing (Guaus and Arcos, 2010) to capture left-hand fingering and indirect acquisition from audio (Penttinen and Välimäki, 2004;Scherrer and Depalle, 2012;Traube and Depalle, 2003;Traube and Smith, 2000). The selection of a measuring system is largely determined by the objectives of the research.…”

Section: Literature Reviewmentioning

confidence: 99%

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Estimation of Guitar Fingering and Plucking Controls Based on Multimodal Analysis of Motion, Audio and Musical Score

Carrillo

Arcos

Wanderley

2016

Lecture Notes in Computer Science

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Abstract. This work presents a method for the extraction of instrumental controls during guitar performances. The method is based on the analysis of multimodal data consisting of a combination of motion capture, audio analysis and musical score. High speed video cameras based on marker identification are used to track the position of finger bones and articulations and audio is recorded with a transducer measuring vibration on the guitar body. The extracted parameters are divided into left hand controls, i.e. fingering (which string and fret is pressed with a left hand finger) and right hand controls, i.e. the plucked string, the plucking finger and the characteristics of the pluck (position, velocity and angles with respect to the string). Controls are estimated based on probability functions of low level features, namely, the plucking instants (i.e. note onsets), the pitch and the distances of the fingers (both hands) to strings and frets. Note onsets are detected via audio analysis, the pitch is extracted from the score and distances are computed from 3D Euclidean Geometry. Results show that by combination of multimodal information, it is possible to estimate such a comprehensive set of control features, with special high performance for the fingering and plucked string estimation. Regarding the plucking finger and the pluck characteristics, their accuracy gets lower but improvements are foreseen including a hand model and the use of high-speed cameras for calibration and evaluation.

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Section: Literature Reviewmentioning

confidence: 99%

“…In the case of the indirect acquisition, di↵erent methods allow for the extraction of the plucking position and fingering based on frequencydomain analysis techniques (Traube and Depalle, 2003;Traube and Smith, 2000) and time-domain approaches (Penttinen and Välimäki, 2004). Reboursière et al Proc.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimation of Guitar Fingering and Plucking Controls Based on Multimodal Analysis of Motion, Audio and Musical Score

Carrillo

Arcos

Wanderley

2016

Lecture Notes in Computer Science

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“…In the frequency domain, the first two pulses create a combfiltering effect far denser than the one observed in the overall spectrum of a vibrating string [4].…”

Section: Time-domain Effects Of Varying the Plucking Pointmentioning

confidence: 98%

“…In the ACF this will cause a strong negative correlation and will appear as a negative peak in the ACF. This is the crux of the matter, since the negative peak will show at a time lag corresponding to the plucking point d. To improve the accuracy of the estimation, parabolic interpolation can be used as in [4]. The plucking point estimate will be determined with the help of the negative peak of the ACF.…”

Section: Plucking Point Estimatementioning

confidence: 99%

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Acoustic Guitar Plucking Point Estimation in Real Time

Penttinen¹,

Siiskonen²,

Välimäki³

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

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The algorithm estimates the plucking point of guitar tones obtained with an undersaddle pickup. This problem is approached in the time domain by applying autocorrelation estimation. This work extends a recently developed algorithm and brings it to a practical and sufficiently robust level. Improvements have been made to the onset detection part of the algorithm. The algorithm also enables a new way to control, for example, audio effect parameters in real time by simply changing the plucking point. The paper discusses these issues and the real-time implementation in the Pd environment. In tests the real-time implementation achieved a 96 % hit rate while the estimation error remains smaller than one centimeter, except for a few outliers. Audio samples and a Pd implementation of the algorithm are available on-line at www.acoustics.hut.fi/demos/plucking-point/.

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EGT: Enriched Guitar Transcription

Reboursiere

Dupont

2013

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A time-domain approach to estimating the plucking point of guitar tones obtained with an under-saddle pickup

Cited by 18 publications

References 5 publications

Estimation of Guitar Fingering and Plucking Controls Based on Multimodal Analysis of Motion, Audio and Musical Score

Estimation of Guitar Fingering and Plucking Controls Based on Multimodal Analysis of Motion, Audio and Musical Score

Acoustic Guitar Plucking Point Estimation in Real Time

EGT: Enriched Guitar Transcription

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