IntroductionIntroduction Most musical sounds are periodic, and are composed of a collection of harmonic sine waves.Most musical sounds are periodic, and.

Slides:



Advertisements
Similar presentations
Longitudinal Standing Waves and Complex Sound Waves 17.6 and 17.7.
Advertisements

MUSIC NOTES Noise Versus Music  What is the difference between noise and music?  Answer: The appearance of the waveform.  What is the difference between.
Unit Generators and V.I.s Patches are configurations of V.I.s Both Patches & Virtual Instruments can be broken down into separate components called Unit.
1. If this standing wave is 3.2 m long, what is the wavelength? (2.56 m)
Sound test. Signals and waveforms What is a signal? Need not be electrical Morse Speech Video Contains information.
Physics 1251 The Science and Technology of Musical Sound Unit 1 Session 8 Harmonic Series Unit 1 Session 8 Harmonic Series.
Harmonic Series and Spectrograms 220 Hz (A3) Why do they sound different? Instrument 1 Instrument 2Sine Wave.
Objective of Lecture Introduce several nonsinusoidal waveforms including Impulse function Step function Ramp function Convolutions Pulse and square waveforms.
Objective of Lecture Introduce several nonsinusoidal waveforms including Impulse waveforms Step functions Ramp functions Convolutions Pulse and square.
A.Diederich– International University Bremen – USC – MMM Spring Sound waves cont'd –Goldstein, pp. 331 – 339 –Cook, Chapter 7.
Pressure waves in open pipe Pressure waves in pipe closed at one end.
Dr. Jie ZouPHY Chapter 8 (Hall) Sound Spectra.
Intro to Fourier Analysis Definition Analysis of periodic waves Analysis of aperiodic waves Digitization Time-frequency uncertainty.
CHAPTER 16 Fourier Series.
Harmonics and Overtones Waveforms / Wave Interaction Phase Concepts / Comb Filtering Beat Frequencies / Noise AUD202 Audio and Acoustics Theory.
PH 105 Dr. Cecilia Vogel Lecture 12. OUTLINE  Timbre review  Spectrum  Fourier Synthesis  harmonics and periodicity  Fourier Analysis  Timbre and.
Square wave Fourier Analysis + + = Adding sines with multiple frequencies we can reproduce ANY shape.
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
The Spectrum Jean Baptiste Fourier ( ) discovered a fundamental tenet of wave theory All periodic waves are composed of a series of sinusoidal.
Where we’re going Speed, Storage Issues Frequency Space.
EE 319K Introduction to Microcontrollers
Alternating Current Chapter 12. Generating AC (12-1)
Section 2 AC Circuits. Chapter 12 Alternating Current.
Harmonic Series and Spectrograms
Fourier Concepts ES3 © 2001 KEDMI Scientific Computing. All Rights Reserved. Square wave example: V(t)= 4/  sin(t) + 4/3  sin(3t) + 4/5  sin(5t) +
Fourier series. The frequency domain It is sometimes preferable to work in the frequency domain rather than time –Some mathematical operations are easier.
Why does a violin sound different from a horn? Several kinds of audible information Pitch Timbre Attack Decay Vibrato.
ENE 208: Electrical Engineering Mathematics Fourier Series.
Complex Auditory Stimuli
12/2/2015 Fourier Series - Supplemental Notes A Fourier series is a sum of sine and cosine harmonic functions that approximates a repetitive (periodic)
Standing Waves in Sound Tubes Physics Mrs. Coyle.
Chapter 21 Musical Sounds.
Harmonic Series and Spectrograms BY JORDAN KEARNS (W&L ‘14) & JON ERICKSON (STILL HERE )
PHYSICS CLASS ACTIVITY. CLASS ACTIVITY: TUNING FORK FREQUENCY.
Digital Oscillators. Everything is a Table A table is an indexed list of elements (or values) A digital oscillator or soundfile is no different.
Digital Oscillators. Everything is a Table A table is an indexed list of elements (or values) A digital oscillator or soundfile is no different.
3.3 Waves and Stuff Science of Music 2007 Last Time  Dr. Koons talked about consonance and beats.  Let’s take a quick look & listen at what this means.
12.7 Graphing Trigonometric Functions Day 1: Sine and Cosine.
12.7 Graphing Trigonometric Functions Day 1: Sine and Cosine.
The Spectrum n Jean Baptiste Fourier ( ) discovered a fundamental tenet of wave theory.
Melinda Feldmann Combination Tones. What is a Combination Tone? Combination Tone In musical acoustics, faint tone produced in the inner ear by two simultaneously.
Basic Acoustics. Sound – your ears’ response to vibrations in the air. Sound waves are three dimensional traveling in all directions. Think of dropping.
12-3 Harmonics.
 Wave energy depends on amplitude, the more amplitude it has, the more energy it has.
1 Direct Digital Synthesizer STUDENT : Tsung-Han Tu SN : M
Intro to Fourier Series BY JORDAN KEARNS (W&L ‘14) & JON ERICKSON (STILL HERE )
Measurement and Instrumentation
SOUND
Complex Analysis in Fourier Transform Applications By Brett Kassel and Matt Mulvehill 1.
Multiplication table. x
Harmonics Ben Kemink.
HNC/D Engineering Science
Wave interference and Beat Frequency
For a periodic complex sound
Figure Hz sine wave to be sampled.
Standing waves standing waves on a string: RESONANCE:
Ch. 13 Sound.
PK 6 Oct 2010 Some fundamental concepts
MA 527 Dr. Park.
Intro to Fourier Series
Speech Pathologist #10.
Lab 6: Sound Analysis Fourier Synthesis Fourier Analysis
Introduction to Csound 5.
Wavetable Synthesis.
Representing Sound 2.6 – Data Representation.
Sound shadow effect Depends on the size of the obstructing object and the wavelength of the sound. If comparable: Then sound shadow occurs. I:\users\mnshriv\3032.
Musical Notes and Sine Waves
Your bell ringer is on the whiteboard.
Features of A Wave Crest and Trough Crest:
Complex Waveforms HNC/D Engineering.
Presentation transcript:

IntroductionIntroduction Most musical sounds are periodic, and are composed of a collection of harmonic sine waves.Most musical sounds are periodic, and are composed of a collection of harmonic sine waves.

WavetablesWavetables Harmonic sine waves are at integer multiples of some fundamental frequency.Harmonic sine waves are at integer multiples of some fundamental frequency. For example, a fundamental frequency of 100 Hz has harmonics at 100 Hz, 200 Hz, 300 Hz,...).For example, a fundamental frequency of 100 Hz has harmonics at 100 Hz, 200 Hz, 300 Hz,...).

WavetablesWavetables If a waveform is periodic, we can use a wavetable to store one period of the waveform to avoid having to re-compute it for every period, and instead we can use table lookup.If a waveform is periodic, we can use a wavetable to store one period of the waveform to avoid having to re-compute it for every period, and instead we can use table lookup.

WavetablesWavetables A wavetable is an array of waveform amplitude values.A wavetable is an array of waveform amplitude values.

WavetablesWavetables We can generate a periodic waveform by summing a set of harmonic sine waves.We can generate a periodic waveform by summing a set of harmonic sine waves. where:where: i is table location, 0<= i < tablength,i is table location, 0<= i < tablength, tablamp[i] is amplitude at table location i,tablamp[i] is amplitude at table location i, tablength is the size of the wavetable,tablength is the size of the wavetable, Nhar is the number of harmonics,Nhar is the number of harmonics, k is the harmonic number,k is the harmonic number, amp k is the amplitude of harmonic k.amp k is the amplitude of harmonic k.

[ii:24] Example 1 Nhar=3, tableLength=64, and amp1 = 1, amp2 =.5 and amp3 =.25Nhar=3, tableLength=64, and amp1 = 1, amp2 =.5 and amp3 =.25 f

Example 1 the values for tablamp[i] are shown in the composite waveform below:the values for tablamp[i] are shown in the composite waveform below: f

[ii:25] Example 2 Nhar=3, tableLength=64, and amp1 = 1, amp2 = 2 and amp3 = 4Nhar=3, tableLength=64, and amp1 = 1, amp2 = 2 and amp3 = 4 f

Example 2 the values for tablamp[i] are shown in the composite waveform below:the values for tablamp[i] are shown in the composite waveform below: f

[ii:26] Example 3 Nhar=10, tableLength=64, and amp1 = 1, amp2 =.75 and amp3 =.75*.75, etc.Nhar=10, tableLength=64, and amp1 = 1, amp2 =.75 and amp3 =.75*.75, etc. f

Example 3 the values for tablamp[i] are shown in the composite waveform below:the values for tablamp[i] are shown in the composite waveform below: f

[ii:18] Sine Wave f WaveformSpectrum

[ii:27] Pulse Wave sounds like a door buzzer:sounds like a door buzzer: f WaveformSpectrum

[ii:28] Sawtooth Wave exponential spectrumexponential spectrum f WaveformSpectrum

[ii:29] Sine Wave (flattened) squared exponential spectrum — clarinet- like with only odd harmonicssquared exponential spectrum — clarinet- like with only odd harmonics f WaveformSpectrum

[ii:30] Wavetable Aliasing Be careful to avoid wavetable aliasing.Be careful to avoid wavetable aliasing. The highest harmonic frequency must be less than the Nyquist Frequency.The highest harmonic frequency must be less than the Nyquist Frequency. Harmonic aliasingHarmonic aliasing Adding harmonics to 1000 Hz fundamental, with SR=22050.Adding harmonics to 1000 Hz fundamental, with SR= Intended harmonicsAliased harmonics

Sound Quality Depends on:Depends on: Sampling Rate Table Size Higher Rate is betterLarger size is better Limit Limit Nyquist Frequency16385 is large enough for most purposes

[ii:31] Synthesizing the Following Spectra

Wavetable Synthesis Example wavetable 1: amp1 = 2400wavetable 1: amp1 = 2400 f wavetable 2: amp2 = 900, amp3 = 600wavetable 2: amp2 = 900, amp3 = 600 wavetable 3: amp4 = 1000, amp5 = 180, amp6 = 400, amp7 = 250wavetable 3: amp4 = 1000, amp5 = 180, amp6 = 400, amp7 = 250 f f wavetable 4: amp8 = 90, amp9 = 90, amp10 = 55wavetable 4: amp8 = 90, amp9 = 90, amp10 = 55 f

Bass Clarinet Example [ii:32] G98, 35 harmonics, odd harmonics louder:[ii:32] G98, 35 harmonics, odd harmonics louder:

Bass Clarinet Example G98, 35 harmonics, odd harmonics louder:G98, 35 harmonics, odd harmonics louder:

Bass Clarinet Example G98, using 4 wavetables, with almost 35 harmonics (3 are left out):G98, using 4 wavetables, with almost 35 harmonics (3 are left out): f f f f

Bass Clarinet Example add a little vibrato and play [ii:33] music!add a little vibrato and play [ii:33] music!

Review Question Which wavetable could represent this spectrum?Which wavetable could represent this spectrum? A.f B.f C.f D.f E.none of the above