BravoBrava
Mississippi State University
Fourier
Transform
Cepstral
Analysis
Perceptual
Weighting
Time
Derivative
Time
Derivative
Energy
+
Mel-Spaced Cepstrum
Delta Energy
+
Delta Cepstrum
Delta-Delta Energy
+
Delta-Delta Cepstrum
Input Speech
•
Incorporate knowledge of the
nature of speech sounds in
measurement of the features.
•
Utilize rudimentary models of
human perception.
Acoustic Modeling
Feature Extraction
•
Measure features 100
times per sec.
•
Use a 25 msec window for
frequency domain analysis.
•
Include absolute energy and
12 spectral measurements.
•
Time derivatives to model
spectral change.