Beethoven's Fifth 'Sine'-Phony: the Science of Harmony and Discord
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An Assessment of Sound Annoyance As a Function of Consonance
An Assessment of Sound Annoyance as a Function of Consonance Song Hui Chon CCRMA / Electrical Engineering Stanford University Stanford, CA 94305 [email protected] Abstract In this paper I study the annoyance generated by synthetic auditory stimuli as a function of consonance. The concept of consonance is one of the building blocks for Western music theory, and recently tonal consonance (to distinguish from musical consonance) is getting attention from the psychoacoustics community as a perception parameter. This paper presents an analysis of the experimental result from a previous study, using tonal consonance as a factor. The result shows that there is a direct correlation between annoyance and consonance and that perceptual annoyance, for the given manner of stimulus presentation, increases as a stimulus becomes more consonant at a given loudness level. 1 Introduction 1.1 Addressing Annoyance Annoyance is one of the most common feelings people experience everyday in this modern society. It is a highly subjective sensation; however this paper presumes that there is a commonality behind each person's annoyance perception. It is generally understood that one aspect of annoyance is a direct correlation with spectral power [1], although the degree of correlation is under investigation [2][3]. Previous studies have assumed that noise level is a strict gauge for determining annoyance [4], but it is reasonable to suggest that the influence of sound level might be more subtle; annoyance is, after all, a subjective and highly personal characteristic. One study reveals that subjects perceive annoyance differently based on their ability to influence it [5]. Another demonstrates that age plays a significant role in annoyance judgments [6], though conflicting results indicate more complex issues. -
Cell Phones Silent Clickers on Remember - Learning Team – You Can Email/Skype/Facetime/Zoom in Virtual Office Hours
This is PHYS 1240 - Sound and Music Lecture 11 Professor Patricia Rankin Cell Phones silent Clickers on Remember - Learning Team – you can email/skype/facetime/zoom in virtual office hours Graduate student Teaching Assistant Tyler C Mcmaken - online 10-11am Friday Undergraduate Learning Assistants Madeline Karr Online 6-7pm Monday Rishi Mayekar Online 11-12noon Thur Miles Warnke Online 3-4pm Wed Professor Patricia Rankin Online 2-3pm Wed Physics 1240 Lecture 11 Today: Timbre, Fourier, Sound Spectra, Sampling Size Next time: Sound Intensity, Intervals, Scales physicscourses.colorado.edu/phys1240 Canvas Site: assignments, administration, grades Homework – HW5 Due Wed February 19th 5pm Homelabs – Hlab3 Due Monday Feb 24th 5pm Debrief – Last Class(es) Waves in pipes Open-open n=1,2,3,4 Closed-open n = 1,3,5 Pressure nodes at open ends, pressure antinodes at closed ends Displacement nodes/antinodes opposite to pressure ones. Open-open 푓푛=푛∙푣푠/2퐿 So, fundamental doesn’t depend just on length of pipe Closed-open 푓푛=푛∙푣푠/4퐿 Homework hints Check your units You can use yx key to find 2n Be aware – you may need to do some manipulation e.g. Suppose question asks you to find the mass/unit length of a string given velocity, tension…. You know F 2 퐹 , 퐹 v 푠표, 푣푡 = 휇 = 2 t 휇 푣푡 Timbre – the tone color/voice of an instrument Timbre is why we can recognize different instruments from steady tones. Perception Physics Pitch Frequency Consonance Frequencies are ratios of small integers Loudness Overall amplitude Timbre Amplitudes of a harmonic series of notes Superposition We can add/superimpose sine waves to get a more complex wave profile Overall shape (Timbre) depends on the frequency spectra (the frequencies of waves added together), and the amplitudes of the waves Ohm's acoustic law, sometimes called the acoustic phase law or simply Ohm's law (but another Ohm’s law in Electricity and Magnetism), states that a musical sound is perceived by the ear as the fundamental note of a set of a number of constituent pure harmonic tones. -
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). -
AN INTRODUCTION to MUSIC THEORY Revision A
AN INTRODUCTION TO MUSIC THEORY Revision A By Tom Irvine Email: [email protected] July 4, 2002 ________________________________________________________________________ Historical Background Pythagoras of Samos was a Greek philosopher and mathematician, who lived from approximately 560 to 480 BC. Pythagoras and his followers believed that all relations could be reduced to numerical relations. This conclusion stemmed from observations in music, mathematics, and astronomy. Pythagoras studied the sound produced by vibrating strings. He subjected two strings to equal tension. He then divided one string exactly in half. When he plucked each string, he discovered that the shorter string produced a pitch which was one octave higher than the longer string. A one-octave separation occurs when the higher frequency is twice the lower frequency. German scientist Hermann Helmholtz (1821-1894) made further contributions to music theory. Helmholtz wrote “On the Sensations of Tone” to establish the scientific basis of musical theory. Natural Frequencies of Strings A note played on a string has a fundamental frequency, which is its lowest natural frequency. The note also has overtones at consecutive integer multiples of its fundamental frequency. Plucking a string thus excites a number of tones. Ratios The theories of Pythagoras and Helmholz depend on the frequency ratios shown in Table 1. Table 1. Standard Frequency Ratios Ratio Name 1:1 Unison 1:2 Octave 1:3 Twelfth 2:3 Fifth 3:4 Fourth 4:5 Major Third 3:5 Major Sixth 5:6 Minor Third 5:8 Minor Sixth 1 These ratios apply both to a fundamental frequency and its overtones, as well as to relationship between separate keys. -
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. -
The Perception of Pure and Mistuned Musical Fifths and Major Thirds: Thresholds for Discrimination, Beats, and Identification
Perception & Psychophysics 1982,32 (4),297-313 The perception ofpure and mistuned musical fifths and major thirds: Thresholds for discrimination, beats, and identification JOOS VOS Institute/or Perception TNO, Soesterberg, TheNetherlands In Experiment 1, the discriminability of pure and mistuned musical intervals consisting of si multaneously presented complex tones was investigated. Because of the interference of nearby harmonics, two features of beats were varied independently: (1) beat frequency, and (2) the depth of the level variation. Discrimination thresholds (DTs) were expressed as differences in level (AL) between the two tones. DTs were determined for musical fifths and major thirds, at tone durations of 250, 500, and 1,000 msec, and for beat frequencies within a range of .5 to 32 Hz. The results showed that DTs were higher (smaller values of AL) for major thirds than for fifths, were highest for the lowest beat frequencies, and decreased with increasing tone duration. Interaction of tone duration and beat frequency showed that DTs were higher for short tones than for sustained tones only when the mistuning was not too large. It was concluded that, at higher beat frequencies, DTs could be based more on the perception of interval width than on the perception of beats or roughness. Experiments 2 and 3 were designed to ascertain to what extent this was true. In Experiment 2, beat thresholds (BTs)for a large number of different beat frequencies were determined. In Experiment 3, DTs, BTs, and thresholds for the identifica tion of the direction of mistuning (ITs) were determined. For mistuned fifths and major thirds, sensitivity to beats was about the same. -
Interpretations of Frequency Domain Analyses of Neural Entrainment: Periodicity, Fundamental Frequency, and Harmonics
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by MPG.PuRe HYPOTHESIS AND THEORY published: 06 June 2016 doi: 10.3389/fnhum.2016.00274 Interpretations of Frequency Domain Analyses of Neural Entrainment: Periodicity, Fundamental Frequency, and Harmonics Hong Zhou 1, Lucia Melloni 2,3, David Poeppel 4,5 and Nai Ding 1,6,7* 1 College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China, 2 Department of Neurology, New York University Langone Medical Center, New York, NY, USA, 3 Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt, Germany, 4 Neuroscience Department, Max-Planck Institute for Empirical Aesthetics, Frankfurt, Germany, 5 Department of Psychology, New York University, New York, NY, USA, 6 Interdisciplinary Center for Social Sciences, Zhejiang University, Hangzhou, China, 7 Neuro and Behavior EconLab, Zhejiang University of Finance and Economics, Hangzhou, China Brain activity can follow the rhythms of dynamic sensory stimuli, such as speech and music, a phenomenon called neural entrainment. It has been hypothesized that low-frequency neural entrainment in the neural delta and theta bands provides a potential mechanism to represent and integrate temporal information. Low-frequency neural entrainment is often studied using periodically changing stimuli and is analyzed in the frequency domain using the Fourier analysis. The Fourier analysis decomposes a periodic signal into harmonically related sinusoids. However, it is not intuitive how these harmonically related components are related to the response waveform. Here, we explain the interpretation of response harmonics, with a special focus on very low- Edited by: frequency neural entrainment near 1 Hz. -
A Biological Rationale for Musical Consonance Daniel L
PERSPECTIVE PERSPECTIVE A biological rationale for musical consonance Daniel L. Bowlinga,1 and Dale Purvesb,1 aDepartment of Cognitive Biology, University of Vienna, 1090 Vienna, Austria; and bDuke Institute for Brain Sciences, Duke University, Durham, NC 27708 Edited by Solomon H. Snyder, Johns Hopkins University School of Medicine, Baltimore, MD, and approved June 25, 2015 (received for review March 25, 2015) The basis of musical consonance has been debated for centuries without resolution. Three interpretations have been considered: (i) that consonance derives from the mathematical simplicity of small integer ratios; (ii) that consonance derives from the physical absence of interference between harmonic spectra; and (iii) that consonance derives from the advantages of recognizing biological vocalization and human vocalization in particular. Whereas the mathematical and physical explanations are at odds with the evidence that has now accumu- lated, biology provides a plausible explanation for this central issue in music and audition. consonance | biology | music | audition | vocalization Why we humans hear some tone combina- perfect fifth (3:2), and the perfect fourth revolution in the 17th century, which in- tions as relatively attractive (consonance) (4:3), ratios that all had spiritual and cos- troduced a physical understanding of musi- and others as less attractive (dissonance) has mological significance in Pythagorean phi- cal tones. The science of sound attracted been debated for over 2,000 years (1–4). losophy (9, 10). many scholars of that era, including Vincenzo These perceptual differences form the basis The mathematical range of Pythagorean and Galileo Galilei, Renee Descartes, and of melody when tones are played sequen- consonance was extended in the Renaissance later Daniel Bernoulli and Leonard Euler. -
The Sounds of Music: Science of Musical Scales∗ 1
SERIES ARTICLE The Sounds of Music: Science of Musical Scales∗ 1. Human Perception of Sound Sushan Konar Both, human appreciation of music and musical genres tran- scend time and space. The universality of musical genres and associated musical scales is intimately linked to the physics of sound, and the special characteristics of human acoustic sensitivity. In this series of articles, we examine the science underlying the development of the heptatonic scale, one of the most prevalent scales of the modern musical genres, both western and Indian. Sushan Konar works on stellar compact objects. She Introduction also writes popular science articles and maintains a Fossil records indicate that the appreciation of music goes back weekly astrophysics-related blog called Monday Musings. to the dawn of human sentience, and some of the musical scales in use today could also be as ancient. This universality of musi- cal scales likely owes its existence to an amazing circularity (or periodicity) inherent in human sensitivity to sound frequencies. Most musical scales are specific to a particular genre of music, and there exists quite a number of them. However, the ‘hepta- 1 1 tonic’ scale happens to have a dominating presence in the world Having seven base notes. music scene today. It is interesting to see how this has more to do with the physics of sound and the physiology of human auditory perception than history. We shall devote this first article in the se- ries to understand the specialities of human response to acoustic frequencies. Human ear is a remarkable organ in many ways. The range of hearing spans three orders of magnitude in frequency, extending Keywords from ∼20 Hz to ∼20,000 Hz (Figure 1) even though the sensitivity String vibration, beat frequencies, consonance-dissonance, pitch, tone. -
Alexander Ellis's Translation of Helmholtz's Sensations of Tone
UvA-DARE (Digital Academic Repository) Alexander Ellis’s Translation of Helmholtz’s Sensations of Tone Kursell, J. DOI 10.1086/698239 Publication date 2018 Document Version Final published version Published in Isis Link to publication Citation for published version (APA): Kursell, J. (2018). Alexander Ellis’s Translation of Helmholtz’s Sensations of Tone. Isis, 109(2), 339-345. https://doi.org/10.1086/698239 General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:27 Sep 2021 Alexander Ellis’s Translation of Helmholtz’s FOCUS Sensations of Tone Julia Kursell, University of Amsterdam Abstract: This essay relocates Alexander J. Ellis’s translation of Hermann von Helmholtz’s book Die Lehre von den Tonempfindungen als physiologische Grundlage für die Theorie der Musik (1863) in a broader context. -
Parsing the Spectral Envelope
PARSING THE SPECTRAL ENVELOPE: TOWARD A GENERAL THEORY OF VOCAL TONE COLOR Ian Howell Doctor of Musical Arts Thesis The New England Conservatory of Music Submitted: 18 May 2016 Advisors: Katarina Markovic & Alan Karass DMA Committee Readers: Matthias Truniger & Thomas Novak Howell: Parsing the Spectral Envelope 2 Contents Abstract ..................................................................................................................................................................... 4 Acknowledgements ............................................................................................................................................... 5 Foreword .................................................................................................................................................................. 6 1. How We Draw Vowels: An Introduction to Current Models .............................................................. 8 2. What are Timbre and Tone Color? ........................................................................................................... 20 3. Exploring the Special Psychoacoustics of Sung Vowels .................................................................... 27 Absolute Spectral Tone Color ............................................................................................................................................... 29 The Multiple Missing Fundamentals ................................................................................................................................ -
Audio Processing and Loudness Estimation Algorithms with Ios Simulations
Audio Processing and Loudness Estimation Algorithms with iOS Simulations by Girish Kalyanasundaram A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved September 2013 by the Graduate Supervisory Committee: Andreas Spanias, Chair Cihan Tepedelenlioglu Visar Berisha ARIZONA STATE UNIVERSITY December 2013 ABSTRACT The processing power and storage capacity of portable devices have improved considerably over the past decade. This has motivated the implementation of sophisticated audio and other signal processing algorithms on such mobile devices. Of particular interest in this thesis is audio/speech processing based on perceptual criteria. Specifically, estimation of parameters from human auditory models, such as auditory patterns and loudness, involves computationally intensive operations which can strain device resources. Hence, strategies for implementing computationally efficient human auditory models for loudness estimation have been studied in this thesis. Existing algorithms for reducing computations in auditory pattern and loudness estimation have been examined and improved algorithms have been proposed to overcome limitations of these methods. In addition, real-time applications such as perceptual loudness estimation and loudness equalization using auditory models have also been implemented. A software implementation of loudness estimation on iOS devices is also reported in this thesis. In addition to the loudness estimation algorithms and software, in this thesis project we also created new illustrations of speech and audio processing concepts for research and education. As a result, a new suite of speech/audio DSP functions was developed and integrated as part of the award-winning educational iOS App 'iJDSP.” These functions are described in detail in this thesis. Several enhancements in the architecture of the application have also been introduced for providing the supporting framework for speech/audio processing.