Year: 2008
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(musTh1) Final Exam Grades Posted
Final Exam grades are now posted in Gradebook. I DO NOT HAVE YOUR FINAL AVERAGES COMPUTED. There are still some old homeworks to grade, and I will be dropping your two lowest assignment grades. I have, however, entered zeros for any missing assignments. Some of these zeros will change as I get through the old…
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(compMus2) The Final Project BOX
The box for turning in your audio CD of your final project is now on the table outside studio 9.
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(compMus2) Spectral Quiz Review
For Wednesday’s (12/10) quiz over spectral processing, review the previous posts on intro to spectral processing, the Fourier transform, phase vocoding, and convolution. Important Concepts The quiz is not limited to the listed items below, but these concepts will go a long way towards helping you master the important material. Intro to Spectral Processing Audio…
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(compMus2) Convolution
Convolution is a fundamental process in digital audio processing. Even if you do not specifically know that the process is happening, you know the effects of the process. Filtering, reverberation, and cross synthesis all illustrate convolution. For example, a filter convolves its impulse response (IR) with the input signal to produce filtered output. Sampling reverbs convolve…
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(compMus2) Phase Vocoding
Phase Vocoding allows for independent control of time duration and pitch. Time Expansion/Compression with Phase Vocoding The conversion of an audio signal from the time domain to the frequency domain results in a series of frames containing bins of frequency and amplitude information. If you conceive of the FFT as producing a snapshot, a frozen picture of…
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(compMus2) The Fourier Transform
Background In 1822, Jean Babtiste Joseph, Baron de Fourier developed the theorem any periodic signal could be represented as the sum of individual sine waves. The number of sine waves needed could be infinite, and each sine wave would have its own frequency, amplitude, and initial phase. The process of calculating the frequencies present in…
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(compMus2) Spectral Processing Intro
Audio Domains Up until this point, we’ve been talking about audio processing and synthesis in the time domain. Spectral processing takes place in the frequency domain. In the time domain, we represent sound as changing amplitude (y value) over time (x value). In the frequency domain, sound is represented as changing amplitude (y value) over…
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(musTh1) Phrases, Periods, and more
The book chapter (Ch. 12: Phrase Structure and Grouping) is relatively clear, so I’m not going to rehash everything from it, or class, here. I’ll just post some useful things to remember. Phrase lengths are typically multiple measures of two, with four being the most common. Since pickups balance out at beginning and end to…
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(musTh1) Phrase Assignment
Due Friday, Nov. 14th. In the workbook, pp. 86 – 88, complete #1: D, E, F, G, and H, but according to the following instructions (not those in the workbook). Mark phrases, periods, harmonies at cadences, and scale degrees at melodic cadences for each example. Do these diagrammatic markings in the workbook. Do not answer…
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(compMus2) Granular Synthesis Review
Overview Any sound can be thought of as containing discrete particles/time segments (grains) Duration of an individual grain is short – usually 1 ms to 100 ms. Within an individual grain, sound parameters are fixed. Change occurs as you progress from grain to grain. Parameters of Individual Grains Playback speed Index location (location in soundfile…