On the Physical Correlates of Timbre

2017 ◽  
Author(s):  
James Tenney
Keyword(s):  
Steady State ◽  
Physical Properties ◽  
Large Class ◽  
Digital Computer ◽  
Musical Instruments ◽  
Quasi Steady State ◽  
Computer Technique ◽  
Transient Phenomena ◽  
Basic Parameters

James Tenney discusses the physical correlates of timbre using the digital computer technique developed at the Bell Telephone Laboratories. His intention is to synthesize a large class of timbres, first by considering the physical properties of natural sounds as well as sounds produced by conventional musical instruments. He goes on to explore how many different ways that the quality or timbre of a sound may be made to vary perceptibly, and in how many ways the quality of one sound may be distinguished from that of another, given that the perceived pitch, intensity, and duration are held constant. Tenney also talks about certain transient phenomena and various kinds of quasi-steady-state modulation processes which, along with the spectrum, constitute what he calls the three basic parameters of timbre. He examines each of these three parameters into several subparameters.

ASSESSMENT OF MUSICAL QUALITY OF TANPURA BY FRACTAL-DIMENSIONAL ANALYSIS

Fractals ◽  
2005 ◽  
Vol 13 (03) ◽  
pp. 245-252 ◽  
Author(s):  
R. SENGUPTA ◽  
N. DEY ◽  
A. K. DATTA ◽  
D. GHOSH
Keyword(s):  
Fractal Dimension ◽  
Steady State ◽  
Dimensional Analysis ◽  
Classical Music ◽  
Functional Relationship ◽  
Quasi Steady State ◽  
Mode Of Attachment ◽  
Generalized Dimensions ◽  
Over Time

Tanpura is a multi-stringed accompanying drone instrument extensively used in classical music in India. The instrument is plucked by finger. We know that jitter, shimmer and complexity perturbations (CP) are found also in tanpura signals. The source of origin of these perturbations was reported to be related to some sort of nonlinearity associated with the strings and their mode of attachment. The objective of the present study is to see in what way fractal-dimensional analysis may be helpful to relate the apparent nonlinearity and also if there is any relation of these dimensions with different part of the signals like attack time, quasi-steady state and the decay. In the paper fractal dimension, D0 and generalized dimensions, D2 to D10 and their dynamic behavior over time are studied for 15 tanpuras having four strings each, tuned to Pa (5th note), Sa (tonic), Sa (tonic) and Sa′ (lower octave tonic). The obeying of power law indicates nonlinearity in the production source system. The presence of multifractality is studied through an examination of relationship between q and Dq and the functional relationship between Dqs.

Network reconstruction based on steady-state data

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag
Keyword(s):  
Steady State ◽  
Reverse Engineering ◽  
Theoretical Method ◽  
Network Reconstruction ◽  
Quasi Steady State ◽  
State Data

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.

Quasi-steady-state performance of a heat pipe subjected to transient acceleration loadings

10.2514/3.895 ◽  
1997 ◽  
Vol 11 ◽  
pp. 306-309 ◽  
Author(s):  
Edwin H. Olmstead ◽  
Edward S. Taylor ◽  
Meng Wang ◽  
Parviz Moin ◽  
Scott K. Thomas ◽  
...  
Keyword(s):  
Steady State ◽  
Heat Pipe ◽  
Quasi Steady State ◽  
Steady State Performance

Pengaruh Penambahan Air pada Pengolahan Susu Kedelai

2015 ◽  
Vol 4 (1) ◽  
pp. 8-13
Author(s):  
Priscillia Picauly ◽  
Josefina Talahatu ◽  
Meitycorfrida Mailoa
Keyword(s):  
Glycine Max ◽  
Physical Properties ◽  
Sweet Taste ◽  
Soya Milk ◽  
Randomized Design ◽  
Soybean Extract ◽  
Glycine Max L ◽  
Completely Randomized Design ◽  
Water Ratio

Soybean (Glycine max (L) Merr) is needed as an alternative diversification in order to increase protein consumption. Soybean can be processed into variety of foods and drinks. The most popular drink from soybean is soya milk which is made from soybean extract yielded from the addition of water. The amount of water added determine the quality of soya milk due to its effect on the chemical and physical properties of soya milk. This research was intended to find out the proper ratio of soybean and water in the processing of soya milk to yield the best quality. A completely randomized design was used with eight treatments of soybean and water ratio as follows, ratio of 1 : 6, ratio of 1 : 8, ratio of 1 : 10, ratio of 1 : 12, ratio of 1 : 14, ratio of 1 : 16, ratio of 1 : 18 and ratio of 1 : 20. Result showed the soybean and water ratio 1 : 10 in the processing of soya milk yielded milk having good quality according to its chemical with protein content of 2.53%, fat of 1.20%, sugar total of 1.60%, pH of 7.1, and organoleptic characteristies of both somewhat sweet taste and viscous texture.

A Graphical Method for Storage Coefficient Determination from Quasi-Steady State Flow Data

1996 ◽  
Vol 27 (4) ◽  
pp. 247-254 ◽  
Author(s):  
Zekâi Şen
Keyword(s):  
Steady State ◽  
Graphical Method ◽  
Pumping Test ◽  
Quasi Steady State ◽  
Flow Data ◽  
Steady State Flow ◽  
Storage Coefficient ◽  
State Flow ◽  
Aquifer Test

A simple, approximate but practical graphical method is proposed for estimating the storage coefficient independently from the transmissivity value, provided that quasi-steady state flow data are available from a pumping test. In the past, quasi-steady state flow distance-drawdown data have been used for the determination of transmissivity only. The method is applicable to confined and leaky aquifers. The application of the method has been performed for various aquifer test data available in the groundwater literature. The results are within the practical limits of approximation compared with the unsteady state flow solutions.

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