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UCLA
Dept. of Electrical Engineering
EE 114, Winter 2011
Computer Assignment 3: Spectral Analysis of Speech and Linear Predictive Analysis
Due: January 26, 2011
Introduction
: This assignment studies the use of timefrequency representations, or spectro
grams, during speech processing. Furthermore, the assignment explores the role of linear prediction
in spectral analysis of speech. Speciﬂcally, this assignment focusses on the eﬁect of prediction order
on resulting spectral approximations.
Spectrograms
:
Timefrequency representations of speech are commonly referred to as spectrograms. MATLAB
includes the function "specgram," which divides data into a series of overlapping windows, and
computes the FFT for each signal segment. In the resulting 2D signal, the vertical axis represents
frequency, and the horizontal axis represents time. The logmagnitude of each FFT is mapped to
color, with red corresponding to large values and blue corresponding to small values.
The variables loaded into your workspace includes "tone," which is a sinusoid of constant frequency.
You can listen to "tone" by typing:
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 Spring '11
 VanSchaar
 Digital Signal Processing, Signal Processing

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