#Multimedia Programming: Audio Visualization

##TEAM MEMBERS

1. Chanel Aquino (github.com/ChanelAquino)
2. Matt Wall (github.com/CSUMBmWall)
3. 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

1. Research Python Libraries

2. scipy: to read in sound files

3. numpy: to manipulate/analyze sound data

4. matplotlib: to execute data visualization processes

5. Tkinter: to implement GUI

6. Development

7. Read in wav file. * Hard-code versus user-defined

8. Analyze various data from sound file. * Signal Wave * Audio with Hanning Window * Magnintude Values * Fast Fourier Transform (FFT)

9. Visualize the data. * matplotlib * Bokeh

10. Testing

11. Experiment with different audio files (i.e., hard-coded sound file versus user-defined sound file)

12. Experiment with different data visualization options (e.g., matplotlib, Bokeh)

13. Test different user inputs (e.g., choose from different visualization effects)

##DEMONSTRATION