Inharmonicity of Sounds from Electric Guitars
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Extracting Vibration Characteristics and Performing Sound Synthesis of Acoustic Guitar to Analyze Inharmonicity
Open Journal of Acoustics, 2020, 10, 41-50 https://www.scirp.org/journal/oja ISSN Online: 2162-5794 ISSN Print: 2162-5786 Extracting Vibration Characteristics and Performing Sound Synthesis of Acoustic Guitar to Analyze Inharmonicity Johnson Clinton1, Kiran P. Wani2 1M Tech (Auto. Eng.), VIT-ARAI Academy, Bangalore, India 2ARAI Academy, Pune, India How to cite this paper: Clinton, J. and Abstract Wani, K.P. (2020) Extracting Vibration Characteristics and Performing Sound The produced sound quality of guitar primarily depends on vibrational char- Synthesis of Acoustic Guitar to Analyze acteristics of the resonance box. Also, the tonal quality is influenced by the Inharmonicity. Open Journal of Acoustics, correct combination of tempo along with pitch, harmony, and melody in or- 10, 41-50. https://doi.org/10.4236/oja.2020.103003 der to find music pleasurable. In this study, the resonance frequencies of the modelled resonance box have been analysed. The free-free modal analysis was Received: July 30, 2020 performed in ABAQUS to obtain the modes shapes of the un-constrained Accepted: September 27, 2020 Published: September 30, 2020 sound box. To find music pleasing to the ear, the right pitch must be set, which is achieved by tuning the guitar strings. In order to analyse the sound Copyright © 2020 by author(s) and elements, the Fourier analysis method was chosen and implemented in Scientific Research Publishing Inc. MATLAB. Identification of fundamentals and overtones of the individual This work is licensed under the Creative Commons Attribution International string sounds were carried out prior and after tuning the string. The untuned License (CC BY 4.0). -
An Exploration of Monophonic Instrument Classification Using Multi-Threaded Artificial Neural Networks
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 12-2009 An Exploration of Monophonic Instrument Classification Using Multi-Threaded Artificial Neural Networks Marc Joseph Rubin University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Part of the Computer Sciences Commons Recommended Citation Rubin, Marc Joseph, "An Exploration of Monophonic Instrument Classification Using Multi-Threaded Artificial Neural Networks. " Master's Thesis, University of Tennessee, 2009. https://trace.tennessee.edu/utk_gradthes/555 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Marc Joseph Rubin entitled "An Exploration of Monophonic Instrument Classification Using Multi-Threaded Artificial Neural Networks." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Science, with a major in Computer Science. Jens Gregor, Major Professor We have read this thesis and recommend its acceptance: James Plank, Bruce MacLennan Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) To the Graduate Council: I am submitting herewith a thesis written by Marc Joseph Rubin entitled “An Exploration of Monophonic Instrument Classification Using Multi-Threaded Artificial Neural Networks.” I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Master of Science, with a major in Computer Science. -
A Comparison of Viola Strings with Harmonic Frequency Analysis
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Student Research, Creative Activity, and Performance - School of Music Music, School of 5-2011 A Comparison of Viola Strings with Harmonic Frequency Analysis Jonathan Paul Crosmer University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/musicstudent Part of the Music Commons Crosmer, Jonathan Paul, "A Comparison of Viola Strings with Harmonic Frequency Analysis" (2011). Student Research, Creative Activity, and Performance - School of Music. 33. https://digitalcommons.unl.edu/musicstudent/33 This Article is brought to you for free and open access by the Music, School of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Student Research, Creative Activity, and Performance - School of Music by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. A COMPARISON OF VIOLA STRINGS WITH HARMONIC FREQUENCY ANALYSIS by Jonathan P. Crosmer A DOCTORAL DOCUMENT Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Doctor of Musical Arts Major: Music Under the Supervision of Professor Clark E. Potter Lincoln, Nebraska May, 2011 A COMPARISON OF VIOLA STRINGS WITH HARMONIC FREQUENCY ANALYSIS Jonathan P. Crosmer, D.M.A. University of Nebraska, 2011 Adviser: Clark E. Potter Many brands of viola strings are available today. Different materials used result in varying timbres. This study compares 12 popular brands of strings. Each set of strings was tested and recorded on four violas. We allowed two weeks after installation for each string set to settle, and we were careful to control as many factors as possible in the recording process. -
Musical Acoustics - Wikipedia, the Free Encyclopedia 11/07/13 17:28 Musical Acoustics from Wikipedia, the Free Encyclopedia
Musical acoustics - Wikipedia, the free encyclopedia 11/07/13 17:28 Musical acoustics From Wikipedia, the free encyclopedia Musical acoustics or music acoustics is the branch of acoustics concerned with researching and describing the physics of music – how sounds employed as music work. Examples of areas of study are the function of musical instruments, the human voice (the physics of speech and singing), computer analysis of melody, and in the clinical use of music in music therapy. Contents 1 Methods and fields of study 2 Physical aspects 3 Subjective aspects 4 Pitch ranges of musical instruments 5 Harmonics, partials, and overtones 6 Harmonics and non-linearities 7 Harmony 8 Scales 9 See also 10 External links Methods and fields of study Frequency range of music Frequency analysis Computer analysis of musical structure Synthesis of musical sounds Music cognition, based on physics (also known as psychoacoustics) Physical aspects Whenever two different pitches are played at the same time, their sound waves interact with each other – the highs and lows in the air pressure reinforce each other to produce a different sound wave. As a result, any given sound wave which is more complicated than a sine wave can be modelled by many different sine waves of the appropriate frequencies and amplitudes (a frequency spectrum). In humans the hearing apparatus (composed of the ears and brain) can usually isolate these tones and hear them distinctly. When two or more tones are played at once, a variation of air pressure at the ear "contains" the pitches of each, and the ear and/or brain isolate and decode them into distinct tones. -
Musical Acoustics Timbre / Tone Quality I
Musical Acoustics Lecture 13 Timbre / Tone quality I Musical Acoustics, C. Bertulani 1 Waves: review distance x (m) At a given time t: y = A sin(2πx/λ) A time t (s) -A At a given position x: y = A sin(2πt/T) Musical Acoustics, C. Bertulani 2 Perfect Tuning Fork: Pure Tone • As the tuning fork vibrates, a succession of compressions and rarefactions spread out from the fork • A harmonic (sinusoidal) curve can be used to represent the longitudinal wave • Crests correspond to compressions and troughs to rarefactions • only one single harmonic (pure tone) is needed to describe the wave Musical Acoustics, C. Bertulani 3 Phase δ $ x ' % x ( y = Asin& 2π ) y = Asin' 2π + δ* % λ( & λ ) Musical Acoustics, C. Bertulani 4 € € Adding waves: Beats Superposition of 2 waves with slightly different frequency The amplitude changes as a function of time, so the intensity of sound changes as a function of time. The beat frequency (number of intensity maxima/minima per second): fbeat = |fa-fb| Musical Acoustics, C. Bertulani 5 The perceived frequency is the average of the two frequencies: f + f f = 1 2 perceived 2 The beat frequency (rate of the throbbing) is the difference€ of the two frequencies: fbeats = f1 − f 2 € Musical Acoustics, C. Bertulani 6 Factors Affecting Timbre 1. Amplitudes of harmonics 2. Transients (A sudden and brief fluctuation in a sound. The sound of a crack on a record, for example.) 3. Inharmonicities 4. Formants 5. Vibrato 6. Chorus Effect Two or more sounds are said to be in unison when they are at the same pitch, although often an OCTAVE may exist between them. -
Harmonic Template Neurons in Primate Auditory Cortex Underlying Complex Sound Processing
Harmonic template neurons in primate auditory cortex underlying complex sound processing Lei Fenga,1 and Xiaoqin Wanga,2 aLaboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 Edited by Dale Purves, Duke University, Durham, NC, and approved December 7, 2016 (received for review May 10, 2016) Harmonicity is a fundamental element of music, speech, and animal role in harmonic integration in processing complex sounds. Pa- vocalizations. How the auditory system extracts harmonic structures tients with unilateral temporal lobe excision showed poorer embedded in complex sounds and uses them to form a coherent performance in a missing fundamental pitch perception task than unitary entity is not fully understood. Despite the prevalence of normal listeners but performed as normal in the task when the f0 sounds rich in harmonic structures in our everyday hearing envi- was presented (21). Auditory cortex lesions could impair complex ronment, it has remained largely unknown what neural mechanisms sound discrimination, such as animal vocalizations, and vowel-like are used by the primate auditory cortex to extract these biologically sounds without affecting responses to relative simple stimuli, like important acoustic structures. In this study, we discovered a unique pure tones (22–24). class of harmonic template neurons in the core region of auditory Primate auditory cortex is subdivided into a “core” region, cortex of a highly vocal New World primate, the common marmoset consisting of A1 and the neighboring primary-like rostral (R) and (Callithrix jacchus), across the entire hearing frequency range. Mar- rostral–temporal areas, surrounded by a belt region, which contains mosets have a rich vocal repertoire and a similar hearing range to multiple distinct secondary fields (Fig. -
Lecture 38 Quantum Theory of Light
Lecture 38 Quantum Theory of Light 38.1 Quantum Theory of Light 38.1.1 Historical Background Quantum theory is a major intellectual achievement of the twentieth century, even though we are still discovering new knowledge in it. Several major experimental findings led to the revelation of quantum theory or quantum mechanics of nature. In nature, we know that many things are not infinitely divisible. Matter is not infinitely divisible as vindicated by the atomic theory of John Dalton (1766-1844) [221]. So fluid is not infinitely divisible: as when water is divided into smaller pieces, we will eventually arrive at water molecule, H2O, which is the fundamental building block of water. In turns out that electromagnetic energy is not infinitely divisible either. The electromag- netic radiation out of a heated cavity would obey a very different spectrum if electromagnetic energy is infinitely divisible. In order to fit experimental observation of radiation from a heated electromagnetic cavity, Max Planck (1900s) [222] proposed that electromagnetic en- ergy comes in packets or is quantized. Each packet of energy or a quantum of energy E is associated with the frequency of electromagnetic wave, namely E = ~! = ~2πf = hf (38.1.1) where ~ is now known as the Planck constant and ~ = h=2π = 6:626 × 10−34 J·s (Joule- second). Since ~ is very small, this packet of energy is very small unless ! is large. So it is no surprise that the quantization of electromagnetic field is first associated with light, a very high frequency electromagnetic radiation. A red-light photon at a wavelength of 700 −19 nm corresponds to an energy of approximately 2 eV ≈ 3 × 10 J ≈ 75 kBT , where kBT denotes the thermal energy. -
Psychoacoustic Foundations of Contextual Harmonic Stability in Jazz Piano Voicings
Journal of Jazz Studies vol. 7, no. 2, pp. 156–191 (Fall 2011) Psychoacoustic Foundations Of Contextual Harmonic Stability In Jazz Piano Voicings James McGowan Considerable harmonic variation of both chord types and specific voicings is available to the jazz pianist, even when playing stable, tonic-functioned chords. Of course non-tonic chords also accommodate extensive harmonic variety, but they generally cannot provide structural stability beyond the musical surface. Many instances of tonic chords, however, also provide little or no sense of structural repose when found in the middle of a phrase or subjected to some other kind of “dissonance.” The inclusion of the word “stable” is therefore important, because while many sources are implicitly aware of the fundamental differences between stable and unstable chords, little significant work explicitly accounts for an impro- vising pianist’s harmonic options as associated specifically with harmonic stability— or harmonic “consonance”—in tonal jazz. The ramifications are profound, as the very question of what constitutes a stable tonic sonority in jazz suggests that underlying precepts of tonality function differ- ently in improvised jazz and common-practice music. While some jazz pedagogical publications attempt to account for the diverse chord types and specific voicings employed as tonic chords, these sources have not provided a distinct conceptual framework that explains what criteria link these harmonic options. Some music theorists, meanwhile, have provided valuable analytical models to account for the sense of resolution to stable harmonic entities. These models, however, are largely designed for “classical” music and are problematic in that they tend to explain pervasive non-triadic harmonies as aberrant in some way.1 1 Representative sources that address “classical” models of jazz harmony include Steve Larson, Analyzing Jazz: A Schenkerian Approach, Harmonologia: studies in music theory, no. -
Timbre Preferences in the Context of Mixing Music
applied sciences Article Timbre Preferences in the Context of Mixing Music Felix A. Dobrowohl *, Andrew J. Milne and Roger T. Dean The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, NSW 2751, Australia; [email protected] (A.J.M.); [email protected] (R.T.D.) * Correspondence: [email protected]; Tel.: +61-2-9772-6585 Received: 21 March 2019; Accepted: 16 April 2019; Published: 24 April 2019 Abstract: Mixing music is a highly complex task. This is exacerbated by the fact that timbre perception is still poorly understood. As a result, few studies have been able to pinpoint listeners’ preferences in terms of timbre. In order to investigate timbre preference in a music production context, we let participants mix multiple individual parts of musical pieces (bassline, harmony, and arpeggio parts, all sounded with a synthesizer) by adjusting four specific timbral attributes of the synthesizer (lowpass, sawtooth/square wave oscillation blend, distortion, and inharmonicity). After participants mixed all parts of a musical piece, they were asked to rate multiple mixes of the same musical piece. Listeners showed preferences for their own mixes over random, fixed sawtooth, or expert mixes. However, participants were unable to identify their own mixes. Despite not being able to accurately identify their own mixes, participants consistently preferred the mix they thought to be their own, regardless of whether or not this mix was indeed their own. Correlations and cluster analysis of the participants’ mixing settings show most participants behaving independently in their mixing approaches and one moderate sized cluster of participants who are actually rather similar. -
The Origins of Phantom Partials in the Piano
Rollins College Rollins Scholarship Online Honors Program Theses Spring 2020 The Origins of Phantom Partials in the Piano Lauren M. Neldner Rollins College, [email protected] Follow this and additional works at: https://scholarship.rollins.edu/honors Part of the Other Physics Commons, and the Statistical, Nonlinear, and Soft Matter Physics Commons Recommended Citation Neldner, Lauren M., "The Origins of Phantom Partials in the Piano" (2020). Honors Program Theses. 105. https://scholarship.rollins.edu/honors/105 This Open Access is brought to you for free and open access by Rollins Scholarship Online. It has been accepted for inclusion in Honors Program Theses by an authorized administrator of Rollins Scholarship Online. For more information, please contact [email protected]. THE ORIGINS OF PHANTOM PARTIALS IN THE PIANO Lauren M. Neldner A Senior Honors Project Submitted in Partial Fulfillment of the Requirements of the Honors Degree Program March 2020 Faculty Sponsor: Thomas R. Moore Rollins College Winter Park, FL Contents Acknowledgments 6 1 Introduction 7 1.1 History of the Piano . 7 1.2 The Modern Piano . 9 1.2.1 Frame and Case . 11 1.2.2 Soundboard . 11 1.2.3 Bridges . 13 1.2.4 Strings . 14 1.2.5 Hammers and Action . 16 1.2.6 Pedals and Dampers . 17 2 Phantom Partials 19 2.1 Historical Context . 20 2.2 Historic Theory of Phantom Partials . 21 2.3 Production in Non-string Components . 25 3 Two Plausible Theories 30 3.1 Pressure Induced Nonlinearity . 30 3.2 Contact Nonlinearity . 33 1 4 Experiments and Results 37 4.1 Pressure experiments . -
Thomas Young and Eighteenth-Century Tempi Peter Pesic St
Performance Practice Review Volume 18 | Number 1 Article 2 Thomas Young and Eighteenth-Century Tempi Peter Pesic St. John's College, Santa Fe, New Mexico Follow this and additional works at: http://scholarship.claremont.edu/ppr Pesic, Peter (2013) "Thomas Young and Eighteenth-Century Tempi," Performance Practice Review: Vol. 18: No. 1, Article 2. DOI: 10.5642/perfpr.201318.01.02 Available at: http://scholarship.claremont.edu/ppr/vol18/iss1/2 This Article is brought to you for free and open access by the Journals at Claremont at Scholarship @ Claremont. It has been accepted for inclusion in Performance Practice Review by an authorized administrator of Scholarship @ Claremont. For more information, please contact [email protected]. Thomas Young and Eighteenth-Century Tempi Dedicated to the memory of Ralph Berkowitz (1910–2011), a great pianist, teacher, and master of tempo. The uthora would like to thank the John Simon Guggenheim Memorial Foundation for its support as well as Alexei Pesic for kindly photographing a rare copy of Crotch’s Specimens of Various Styles of Music. This article is available in Performance Practice Review: http://scholarship.claremont.edu/ppr/vol18/iss1/2 Thomas Young and Eighteenth-Century Tempi Peter Pesic In trying to determine musical tempi, we often lack exact and authoritative sources, especially from the eighteenth century, before composers began to indicate metronome markings. Accordingly, any independent accounts are of great value, such as were collected in Ralph Kirkpatrick’s pioneering article (1938) and most recently sur- veyed in this journal by Beverly Jerold (2012).1 This paper brings forward a new source in the writings of the English polymath Thomas Young (1773–1829), which has been overlooked by musicologists because its author’s best-known work was in other fields. -
The Acoustics of the Violin
THE ACOUSTICS OF THE VIOLIN. BY ERIC JOHNSON This Thesis is presented in part fulfilment of the degree of Doctor of Philosophy at the University of Salford. Department of Applied Acoustics University of Salford Salford, Lancashire. 30 September, 1981. i THE ACOUSTICS OF THE VIOLIN. i TABLE OF CONTENTS Chapter 1: The Violin. page 1 Introduction 1 A Brief History of the Violin 2 Building the Violin 5 The Best Violins and What Makes Them Different 11 References 15 Chapter 2: Experimental and Theoretical Methods. 16 Measuring the Frequency Response 16 Holography 24 The Green's Function Technique 34 References 40 Chapter, 3: Dynamics of the Bowed String. 41 The Bowed String 41 The Wolf- Note 53 References 58 Chapter 4: An Overview of Violin Design. 59 The Violin's. Design 59 The Bridge as a Transmission Element 69 The Function of the Soundpost and Bassbar 73 Modelling the Helmholtz and Front Plate Modes 76 Other Air Modes in, the Violin Cavity 79 References 84 Chapter 5: Modelling the Response of the Violin. 85 The Model 85 Evaluating the Model 93 Investigating Violin Design 99 References 106 Chapter 6: Mass- Production Applications 107 Manufacturing Techniques 107 References 116 I Y., a THE ACOUSTICS OF THE VIOLIN. ii ACKNOWLEDGEMENTS Ina work., such as this it is diff icult' to thank all those who came playedla part in its evolution. Ideas and help from so many directiöiis thät söme, whos'e aid was"appreciated, have no doubt been left out ii myätküowledgements Those who played the most cdnspicuous role in the writing of thesis are listed below but the list is by _this no means complete.