#Multimedia Programming: Audio Visualization
##TEAM MEMBERS
- Chanel Aquino (github.com/ChanelAquino)
- Matt Wall (github.com/CSUMBmWall)
- Samba Diallo (github.com/SambaDialloB)
##OBJECTIVE Our group utilized Python's matplotlib and Bokeh libraries to build a program that takes in an audio/sound files, analyzes its characteristics (e.g., signal wave, with hanning window, magnitude values, and normalized with Fast Fourier Transform), and creates a visually appealing representation of these analyses. The Tkinter module was also implemented to create a Graphical User Interface (GUI).
##PHASES
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Research Python Libraries
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scipy: to read in sound files
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numpy: to manipulate/analyze sound data
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matplotlib: to execute data visualization processes
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Tkinter: to implement GUI
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Development
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Read in wav file. * Hard-code versus user-defined
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Analyze various data from sound file. * Signal Wave * Audio with Hanning Window * Magnintude Values * Fast Fourier Transform (FFT)
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Visualize the data. * matplotlib * Bokeh
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Testing
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Experiment with different audio files (i.e., hard-coded sound file versus user-defined sound file)
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Experiment with different data visualization options (e.g., matplotlib, Bokeh)
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Test different user inputs (e.g., choose from different visualization effects)
##DEMONSTRATION
