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Analyzing Sound

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Title: Furrier Transforms Author: Administrator Last modified by: Administrator Created Date: 6/25/2002 8:35:58 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Analyzing Sound


1
Analyzing Sound
JUNE 2002 WPI Mathematics in Industry
Institute
  • Mary Ellen Connor
  • Kathy Crowley
  • Judith Doherty
  • Ginny Giordano
  • Cat MacDonald

2
The Problem
  • DEKA is working on algorithms for intelligent
    hearing aids.
  • The problems How do you measure speech
    intelligibility? What is a phoneme?
  • The mathematics Addition of trigonometric
    functions
  • The software MatLab

3
Getting Started
We began by doing research in books and online
concerning Fourier series Fourier transforms and
MatLab. A phoneme is a single component of sound.
4
Steps to Understanding
  • Read Who is Fourier?
  • Jean Baptiste Joseph, Baron de Fourier
  • French mathematical physicist
  • (1768-1830)
  • Sound
  • Vibrations of air
  • The graph is periodic.
  • Loudness affects amplitude.
  • Pitch affects the frequency.

5
Fouriers Big Discovery
  • No matter how complicated it is, a wave that is
    periodic - with a pattern that repeats itself -
    consists of the sum of many simple waves.

6
Steps to Analyzing the Data
  • Recorded sounds
  • Ahhs and eees of each individual

7
Say Ahhh!
8
MatLab wouldnt work on Tuesday.
9
Got MatLab?
10
Working with the software
  • Imported sounds to MatLab
  • Plotted amplitude vs time
  • Used FFT to plot the spectra of the sounds
  • Determined the peaks and noticed the peaks occur
    at equal intervals
  • These intervals are multiples of the fundamental
    frequencies of each individuals voice.

11
Graphs of Amp vs Time
12
Graphs of Amp vs Time
13
Zoom in
14
Zoom in
15
Spectrum of eee graphs
16
Spectrum of eee graphs
17
Peaks are at n?
18
Peaks are at n?
19
Filter out all but fundamental fs
20
Zoom in
21
Group ahhh and Cat ahhh
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