The following are my notes from a talk I gave at OSCON 2013. Here is the Github source of these Jupyter/IPython notebooks: https://github.com/calebmadrigal/FourierTalkOSCON

# Sound Analysis with the Fourier Transform and Python

### Link to repo: http://tinyurl.com/fourierpython

## Intro

- Welcome
- Format of talk
- Everything is in iPython Notebook (on Github)
- You don't need to take notes
- Please save questions for the end

- Why this is interesting
- Sound processing is big - natural human-machine interfaces (e.g. Siri)
- Noise reduction, Compression, feature extraction (e.g. speech)
- Understanding our universe better (Superposition, Harmonics, Sound timbre)

## Overview

- The Nature of Waves
- The Fourier Transform
- Fast Fourier Transform (FFT) in Python
- Audio analysis

```
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import ...
```