Category: computerMusic2
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(sonicArts) online storage
I’ve been pushing iLocker in class, an online storage solution offered to all of you from Ball State. (I won’t call it free, given what you pay in technology and student services fees, not to mention tuition.) but… If you don’t have a good FTP program, or otherwise know how to set it up on…
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digital performer intro, part 2
part one of the digital performer intro is here Importing Audio and the Soundbites Window You can drag and drop audio from a Finder window into the Soundbites pane in Digital Performer. Audio imported into your project gets converted to the project audio format, and copied into the Audio Files folder within your project folder.…
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digital performer intro
Digital Performer and DAWs Unlike stereo audio editors (Audacity, Peak, Audition), Digital Performer is an example of a Digital Audio Workstation (DAW). Digital Performer relies (mostly) on non-destructive processing and mixing. The program allows for multiple sounds to be used at once by reading from the multiple sound files, applying gain changes as indicated by…
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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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(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…