Music As Biology
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Sound Sensor Experiment Guide
Sound Sensor Experiment Guide Sound Sensor Introduction: Part of the Eisco series of hand held sensors, the sound sensor allows students to record and graph data in experiments on the go. This sensor has two modes of operation. In slow mode it can be used to measure sound-pressure level in decibels. In fast mode it can display waveforms of different sound sources such as tuning forks and wind-chimes so that period and frequency can be determined. With two sound sensors, the velocity of propagation of sound in various media could be determined by timing a pulse travelling between them. The sound sensor is located in a plastic box accessible to the atmosphere via a hole in its side. Sensor Specs: Range: 0 - 110 dB | 0.1 dB resolution | 100 max sample rate Activity – Viewing Sound Waves with a Tuning Fork General Background: Sound waves when transmitted through gases, such as air, travel as longitudinal waves. Longitudinal waves are sometimes also called compression waves as they are waves of alternating compression and rarefaction of the intermediary travel medium. The sound is carried by regions of alternating pressure deviations from the equilibrium pressure. The range of frequencies that are audible by human ears is about 20 – 20,000 Hz. Sounds that have a single pitch have a repeating waveform of a single frequency. The tuning forks used in this activity have frequencies around 400 Hz, thus the period of the compression wave (the duration of one cycle of the wave) that carries the sound is about 2.5 seconds in duration, and has a wavelength of 66 cm. -
Lab 12. Vibrating Strings
Lab 12. Vibrating Strings Goals • To experimentally determine the relationships between the fundamental resonant frequency of a vibrating string and its length, its mass per unit length, and the tension in the string. • To introduce a useful graphical method for testing whether the quantities x and y are related by a “simple power function” of the form y = axn. If so, the constants a and n can be determined from the graph. • To experimentally determine the relationship between resonant frequencies and higher order “mode” numbers. • To develop one general relationship/equation that relates the resonant frequency of a string to the four parameters: length, mass per unit length, tension, and mode number. Introduction Vibrating strings are part of our common experience. Which as you may have learned by now means that you have built up explanations in your subconscious about how they work, and that those explanations are sometimes self-contradictory, and rarely entirely correct. Musical instruments from all around the world employ vibrating strings to make musical sounds. Anyone who plays such an instrument knows that changing the tension in the string changes the pitch, which in physics terms means changing the resonant frequency of vibration. Similarly, changing the thickness (and thus the mass) of the string also affects its sound (frequency). String length must also have some effect, since a bass violin is much bigger than a normal violin and sounds much different. The interplay between these factors is explored in this laboratory experi- ment. You do not need to know physics to understand how instruments work. In fact, in the course of this lab alone you will engage with material which entire PhDs in music theory have been written. -
Echo-Enabled Harmonics up to the 75Th Order from Precisely Tailored Electron Beams E
LETTERS PUBLISHED ONLINE: 6 JUNE 2016 | DOI: 10.1038/NPHOTON.2016.101 Echo-enabled harmonics up to the 75th order from precisely tailored electron beams E. Hemsing1*,M.Dunning1,B.Garcia1,C.Hast1, T. Raubenheimer1,G.Stupakov1 and D. Xiang2,3* The production of coherent radiation at ever shorter wave- phase-mixing transformation turns the sinusoidal modulation into lengths has been a long-standing challenge since the invention a filamentary distribution with multiple energy bands (Fig. 1b). 1,2 λ of lasers and the subsequent demonstration of frequency A second laser ( 2 = 2,400 nm) then produces an energy modulation 3 ΔE fi doubling . Modern X-ray free-electron lasers (FELs) use relati- ( 2) in the nely striated beam in the U2 undulator (Fig. 1c). vistic electrons to produce intense X-ray pulses on few-femto- Finally, the beam travels through the C2 chicane where a smaller 4–6 R(2) second timescales . However, the shot noise that seeds the dispersion 56 brings the energy bands upright (Fig. 1d). amplification produces pulses with a noisy spectrum and Projected into the longitudinal space, the echo signal appears as a λ λ h limited temporal coherence. To produce stable transform- series of narrow current peaks (bunching) with separation = 2/ limited pulses, a seeding scheme called echo-enabled harmonic (Fig. 1e), where h is a harmonic of the second laser that determines generation (EEHG) has been proposed7,8, which harnesses the character of the harmonic echo signal. the highly nonlinear phase mixing of the celebrated echo EEHG has been examined experimentally only recently and phenomenon9 to generate coherent harmonic density modu- at modest harmonic orders, starting with the 3rd and 4th lations in the electron beam with conventional lasers. -
Fftuner Basic Instructions. (For Chrome Or Firefox, Not
FFTuner basic instructions. (for Chrome or Firefox, not IE) A) Overview B) Graphical User Interface elements defined C) Measuring inharmonicity of a string D) Demonstration of just and equal temperament scales E) Basic tuning sequence F) Tuning hardware and techniques G) Guitars H) Drums I) Disclaimer A) Overview Why FFTuner (piano)? There are many excellent piano-tuning applications available (both for free and for charge). This one is designed to also demonstrate a little music theory (and physics for the ‘engineer’ in all of us). It displays and helps interpret the full audio spectra produced when striking a piano key, including its harmonics. Since it does not lock in on the primary note struck (like many other tuners do), you can tune the interval between two keys by examining the spectral regions where their harmonics should overlap in frequency. You can also clearly see (and measure) the inharmonicity driving ‘stretch’ tuning (where the spacing of real-string harmonics is not constant, but increases with higher harmonics). The tuning sequence described here effectively incorporates your piano’s specific inharmonicity directly, key by key, (and makes it visually clear why choices have to be made). You can also use a (very) simple calculated stretch if desired. Other tuner apps have pre-defined stretch curves available (or record keys and then algorithmically calculate their own). Some are much more sophisticated indeed! B) Graphical User Interface elements defined A) Complete interface. Green: Fast Fourier Transform of microphone input (linear display in this case) Yellow: Left fundamental and harmonics (dotted lines) up to output frequency (dashed line). -
Shepard, 1982
Psychological Review VOLUME 89 NUMBER 4 JULY 1 9 8 2 Geometrical Approximations to the Structure of Musical Pitch Roger N. Shepard Stanford University ' Rectilinear scales of pitch can account for the similarity of tones close together in frequency but not for the heightened relations at special intervals, such as the octave or perfect fifth, that arise when the tones are interpreted musically. In- creasingly adequate a c c o u n t s of musical pitch are provided by increasingly gen- eralized, geometrically regular helical structures: a simple helix, a double helix, and a double helix wound around a torus in four dimensions or around a higher order helical cylinder in five dimensions. A two-dimensional "melodic map" o f these double-helical structures provides for optimally compact representations of musical scales and melodies. A two-dimensional "harmonic map," obtained by an affine transformation of the melodic map, provides for optimally compact representations of chords and harmonic relations; moreover, it is isomorphic to the toroidal structure that Krumhansl and Kessler (1982) show to represent the • psychological relations among musical keys. A piece of music, just as any other acous- the musical experience. Because the ear is tic stimulus, can be physically described in responsive to frequencies up to 20 kHz or terms of two time-varying pressure waves, more, at a sampling rate of two pressure one incident at each ear. This level of anal- values per cycle per ear, the physical spec- ysis has, however, little correspondence to ification of a half-hour symphony requires well in excess of a hundred million numbers. -
A Thesis Entitled Nocturnal Bird Call Recognition System for Wind Farm
A Thesis entitled Nocturnal Bird Call Recognition System for Wind Farm Applications by Selin A. Bastas Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Master of Science Degree in Electrical Engineering _______________________________________ Dr. Mohsin M. Jamali, Committee Chair _______________________________________ Dr. Junghwan Kim, Committee Member _______________________________________ Dr. Sonmez Sahutoglu, Committee Member _______________________________________ Dr. Patricia R. Komuniecki, Dean College of Graduate Studies The University of Toledo December 2011 Copyright 2011, Selin A. Bastas. This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of Nocturnal Bird Call Recognition System for Wind Farm Applications by Selin A. Bastas Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Master of Science Degree in Electrical Engineering The University of Toledo December 2011 Interaction of birds with wind turbines has become an important public policy issue. Acoustic monitoring of birds in the vicinity of wind turbines can address this important public policy issue. The identification of nocturnal bird flight calls is also important for various applications such as ornithological studies and acoustic monitoring to prevent the negative effects of wind farms, human made structures and devices on birds. Wind turbines may have negative impact on bird population. Therefore, the development of an acoustic monitoring system is critical for the study of bird behavior. This work can be employed by wildlife biologist for developing mitigation techniques for both on- shore/off-shore wind farm applications and to address bird strike issues at airports. -
The Articulatory and Acoustic Characteristics of Polish Sibilants and Their Consequences for Diachronic Change
The articulatory and acoustic characteristics of Polish sibilants and their consequences for diachronic change Veronique´ Bukmaier & Jonathan Harrington Institute of Phonetics and Speech Processing, University of Munich, Germany [email protected] [email protected] The study is concerned with the relative synchronic stability of three contrastive sibilant fricatives /s ʂɕ/ in Polish. Tongue movement data were collected from nine first-language Polish speakers producing symmetrical real and non-word CVCV sequences in three vowel contexts. A Gaussian model was used to classify the sibilants from spectral information in the noise and from formant frequencies at vowel onset. The physiological analysis showed an almost complete separation between /s ʂɕ/ on tongue-tip parameters. The acoustic analysis showed that the greater energy at higher frequencies distinguished /s/ in the fricative noise from the other two sibilant categories. The most salient information at vowel onset was for /ɕ/, which also had a strong palatalizing effect on the following vowel. Whereas either the noise or vowel onset was largely sufficient for the identification of /s ɕ/ respectively, both sets of cues were necessary to separate /ʂ/ from /s ɕ/. The greater synchronic instability of /ʂ/ may derive from its high articulatory complexity coupled with its comparatively low acoustic salience. The data also suggest that the relatively late stage of /ʂ/ acquisition by children may come about because of the weak acoustic information in the vowel for its distinction from /s/. 1 Introduction While there have been many studies in the last 30 years on the acoustic (Evers, Reetz & Lahiri 1998, Jongman, Wayland & Wong 2000,Nowak2006, Shadle 2006, Cheon & Anderson 2008, Maniwa, Jongman & Wade 2009), perceptual (McGuire 2007, Cheon & Anderson 2008,Li et al. -
The Physics of Sound 1
The Physics of Sound 1 The Physics of Sound Sound lies at the very center of speech communication. A sound wave is both the end product of the speech production mechanism and the primary source of raw material used by the listener to recover the speaker's message. Because of the central role played by sound in speech communication, it is important to have a good understanding of how sound is produced, modified, and measured. The purpose of this chapter will be to review some basic principles underlying the physics of sound, with a particular focus on two ideas that play an especially important role in both speech and hearing: the concept of the spectrum and acoustic filtering. The speech production mechanism is a kind of assembly line that operates by generating some relatively simple sounds consisting of various combinations of buzzes, hisses, and pops, and then filtering those sounds by making a number of fine adjustments to the tongue, lips, jaw, soft palate, and other articulators. We will also see that a crucial step at the receiving end occurs when the ear breaks this complex sound into its individual frequency components in much the same way that a prism breaks white light into components of different optical frequencies. Before getting into these ideas it is first necessary to cover the basic principles of vibration and sound propagation. Sound and Vibration A sound wave is an air pressure disturbance that results from vibration. The vibration can come from a tuning fork, a guitar string, the column of air in an organ pipe, the head (or rim) of a snare drum, steam escaping from a radiator, the reed on a clarinet, the diaphragm of a loudspeaker, the vocal cords, or virtually anything that vibrates in a frequency range that is audible to a listener (roughly 20 to 20,000 cycles per second for humans). -
The Musical Kinetic Shape: a Variable Tension String Instrument
The Musical Kinetic Shape: AVariableTensionStringInstrument Ismet Handˇzi´c, Kyle B. Reed University of South Florida, Department of Mechanical Engineering, Tampa, Florida Abstract In this article we present a novel variable tension string instrument which relies on a kinetic shape to actively alter the tension of a fixed length taut string. We derived a mathematical model that relates the two-dimensional kinetic shape equation to the string’s physical and dynamic parameters. With this model we designed and constructed an automated instrument that is able to play frequencies within predicted and recognizable frequencies. This prototype instrument is also able to play programmed melodies. Keywords: musical instrument, variable tension, kinetic shape, string vibration 1. Introduction It is possible to vary the fundamental natural oscillation frequency of a taut and uniform string by either changing the string’s length, linear density, or tension. Most string musical instruments produce di↵erent tones by either altering string length (fretting) or playing preset and di↵erent string gages and string tensions. Although tension can be used to adjust the frequency of a string, it is typically only used in this way for fine tuning the preset tension needed to generate a specific note frequency. In this article, we present a novel string instrument concept that is able to continuously change the fundamental oscillation frequency of a plucked (or bowed) string by altering string tension in a controlled and predicted Email addresses: [email protected] (Ismet Handˇzi´c), [email protected] (Kyle B. Reed) URL: http://reedlab.eng.usf.edu/ () Preprint submitted to Applied Acoustics April 19, 2014 Figure 1: The musical kinetic shape variable tension string instrument prototype. -
L Atdment OFFICF QO9ENT ROOM 36
*;JiQYL~dW~llbk~ieira - - ~-- -, - ., · LAtDMENT OFFICF QO9ENT ROOM 36 ?ESEARC L0ORATORY OF RL C.f:'__ . /j16baV"BLI:1!S INSTITUTE 0i'7Cn' / PERCEPTION OF MUSICAL INTERVALS: EVIDENCE FOR THE CENTRAL ORIGIN OF THE PITCH OF COMPLEX TONES ADRIANUS J. M. HOUTSMA JULIUS L. GOLDSTEIN LO N OPY TECHNICAL REPORT 484 OCTOBER I, 1971 MASSACHUSETTS INSTITUTE OF TECHNOLOGY RESEARCH LABORATORY OF ELECTRONICS CAMBRIDGE, MASSACHUSETTS 02139 The Research Laboratory of Electronics is an interdepartmental laboratory in which faculty members and graduate students from numerous academic departments conduct research. The research reported in this document was made possible in part by support extended the Massachusetts Institute of Tech- nology, Research Laboratory of Electronics, by the JOINT SER- VICES ELECTRONICS PROGRAMS (U. S. Army, U. S. Navy, and U.S. Air Force) under Contract No. DAAB07-71-C-0300, and by the National Institutes of Health (Grant 5 PO1 GM14940-05). Requestors having DOD contracts or grants should apply for copies of technical reports to the Defense Documentation Center, Cameron Station, Alexandria, Virginia 22314; all others should apply to the Clearinghouse for Federal Scientific and Technical Information, Sills Building, 5285 Port Royal Road, Springfield, Virginia 22151. THIS DOCUMENT HAS BEEN APPROVED FOR PUBLIC RELEASE AND SALE; ITS DISTRIBUTION IS UNLIMITED. MASSACHUSETTS INSTITUTE OF TECHNOLOGY RESEARCH LABORATORY OF ELECTRONICS Technical Report 484 October 1, 1971 PERCEPTION OF MUSICAL INTERVALS: EVIDENCE FOR THE CENTRAL ORIGIN OF COMPLEX TONES Adrianus J. M. Houtsma and Julius L. Goldstein This report is based on a thesis by A. J. M. Houtsma submitted to the Department of Electrical Engineering at the Massachusetts Institute of Technology, June 1971, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. -
Generation of Attosecond Light Pulses from Gas and Solid State Media
hv photonics Review Generation of Attosecond Light Pulses from Gas and Solid State Media Stefanos Chatziathanasiou 1, Subhendu Kahaly 2, Emmanouil Skantzakis 1, Giuseppe Sansone 2,3,4, Rodrigo Lopez-Martens 2,5, Stefan Haessler 5, Katalin Varju 2,6, George D. Tsakiris 7, Dimitris Charalambidis 1,2 and Paraskevas Tzallas 1,2,* 1 Foundation for Research and Technology—Hellas, Institute of Electronic Structure & Laser, PO Box 1527, GR71110 Heraklion (Crete), Greece; [email protected] (S.C.); [email protected] (E.S.); [email protected] (D.C.) 2 ELI-ALPS, ELI-Hu Kft., Dugonics ter 13, 6720 Szeged, Hungary; [email protected] (S.K.); [email protected] (G.S.); [email protected] (R.L.-M.); [email protected] (K.V.) 3 Physikalisches Institut der Albert-Ludwigs-Universität, Freiburg, Stefan-Meier-Str. 19, 79104 Freiburg, Germany 4 Dipartimento di Fisica Politecnico, Piazza Leonardo da Vinci 32, 20133 Milano, Italy 5 Laboratoire d’Optique Appliquée, ENSTA-ParisTech, Ecole Polytechnique, CNRS UMR 7639, Université Paris-Saclay, 91761 Palaiseau CEDEX, France; [email protected] 6 Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9., 6720 Szeged, Hungary 7 Max-Planck-Institut für Quantenoptik, D-85748 Garching, Germany; [email protected] * Correspondence: [email protected] Received: 25 February 2017; Accepted: 27 March 2017; Published: 31 March 2017 Abstract: Real-time observation of ultrafast dynamics in the microcosm is a fundamental approach for understanding the internal evolution of physical, chemical and biological systems. Tools for tracing such dynamics are flashes of light with duration comparable to or shorter than the characteristic evolution times of the system under investigation. -
Design for Auditory Displays: Identifying Temporal and Spatial Information Conveyance Principles
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 Design For Auditory Displays: Identifying Temporal And Spatial Information Conveyance Principles Ali Ahmad University of Central Florida Part of the Industrial Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Ahmad, Ali, "Design For Auditory Displays: Identifying Temporal And Spatial Information Conveyance Principles" (2007). Electronic Theses and Dissertations, 2004-2019. 3050. https://stars.library.ucf.edu/etd/3050 DESIGN FOR AUDITORY DISPLAYS: IDENTIFYING TEMPORAL AND SPATIAL INFORMATION CONVEYANCE PRINCIPLES by ALI AHMAD B.S. University of Jordan, 2000 M.S. University of Central Florida, 2003 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Industrial Engineering and Management Systems in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2007 Major Professor: Kay M. Stanney © 2007 Ali Ahmad ii ABSTRACT Designing auditory interfaces is a challenge for current human-systems developers. This is largely due to a lack of theoretical guidance for directing how best to use sounds in today’s visually-rich graphical user interfaces. This dissertation provided a framework for guiding the design of audio interfaces to enhance human-systems performance.