1. ECE5526 HW#1
By Clay McCreary

2. Problem 1 See the following slides for the plots
Words from lecture slides:
Pg 18 Messages
Pg 27 Test shot
Pg 31 Fisherman
Pg 36 Numerals
Pg 40 Summit

23. Problem 2

24. Problem 2 Example

25. Problem #3
Used the Pitch.m code to integrate pitch information into specgram_nist.m
Included pitch information for every phoneme
Pitch.m does not seem to perform well if there is a period of silence during the phoneme sample period (ie. unvoiced plosive)
Improving the capabilities of the Pitch.m code is beyond the scope of this project, but will need to be improved

26. Problem #3 MATLAB Code

27. Problem #3 Example

28. Problem #3 Hypothesis
From “Prosodic Modeling for Improved Speech Recognition and Understanding” by Wang, there are three elements to prosodic modeling:
Pitch
Duration
Energy

29. Problem #3 Hypothesis cont.
The pitch information incorporated into specgram_nist.m will allow for some prosodic context in the decision making algorithm. However, pitch, by itself, is susceptible to errors and is considered noisy and unreliable.
To enhance the decision making capability of the WUW recognizer, duration and energy should also be considered.

30. Problem #3 Hypothesis cont.
From my experience, I suggest that a typical WUW would contain the following characteristics:
Preceded by a short pause
First syllable would be higher pitch
Short duration
High energy
I hypothesize that incorporating these factors into the WUW recognizer would improve it’s performance