Introduction to Spectral Analysis Phil Lockett Centre College KAPT meeting March 16, 2013.

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Presentation transcript:

Introduction to Spectral Analysis Phil Lockett Centre College KAPT meeting March 16, 2013

Any Time Signal can be represented by Sums of Cosines and Sines The signal can be represented in either the Time Domain or Frequency Domain

Time DomainFrequency Domain

PRAAT

Spectrogram is the Frequency Spectrum as a function of Time Time Frequency

Chirp

Tuning Fork Time Signal

Tuning Fork Frequency Spectrum /s /s

0.12 time (sec) 10k Hz dBnV time (sec)0.12 AEP Sound input (nuthatch ‘quank’) Spectrogram of AEP Jeff Lucas - Purdue

[A] [i] [u]

Vowel Formant Average Spectrograms

Me saying “ee”

Vocal Fold Harmonics: 1 – Hz 2 – Hz skip to 20 – 2544 Hz Power Spectrum for “ee”

“ee”“ah”

“schwa” [ə]orThe Vowel

Use “schwa” Frequencies to measure Vocal Tract Length By Modeling Vocal Tract as Uniform Tube