1. ENEE408G Capstone Design Project: Multimedia Signal Processing Group 1 By : William “Chris” Paul Louis Lo Jang-Hyun Ko Ronald McLaren Final Project : V-LOCK Speaker Recognition System For the Pocket PC

2. Project Objective Accessibility to Pocket PC using a Voice Password. Prevents unauthorized users access to files. Easier than entering in a password by hand.

3. Project Specifications Recognition of voice with 70-90% accuracy Blocking unauthorized voice Create your own password for voice authentication Back up authentication in case voice authentication fails Must be User Friendly

4. Project Preparation Visual C++ Pocket PC Research Papers Internet Research

5. Project Development Initial Password Setup - Speaker must decide on password to use for access. - Speaker must say the word 3 times to get a good reference signature. - Reference Signature is then sent through Feature Extraction Algorithm to get reference data to match against.

6. Feature Extraction Algorithm - Find the Signal. - Separate the signal into 256 sample sections. - Perform FFT on the section. - Select 16 coefficients from each sample window. - Repeat for the rest of the signal.

7. Match Algorithm - Utilizes a distance formula to calculate the distance between known and unknown Fourier Coefficients. - Match Number= sqrt(sum(x-y)^2); where x is the coefficient of the known reference signal and y is the coefficient of the unknown signal. - A good is match is a distance less than 25

9. Problems During Development None of the group members have a strong software background. There is a lack of resources for finding information on how to interface different functions of the Pocket PC (majority of the information is about software packages available for purchase). Limited knowledge of speech processing along the lines of coding the speech ourselves.

10. Project Demonstration For instructions on how to use the program and downloading the program go to: http://jump.to/408G VISUAL C++ POCKET PC

11. Future Upgrades Allow for multiple users to use the Pocket PC with different passwords. Perform more thorough processing to take noise into account to reduce errors and possibly speeding up processing time for the current algorithms. Incorporate Voice commands into the functionality of Pocket PC usage Ask for password every time the Pocket PC is restarted

12. Conclusion Voice and Speaker Recognition is Difficult! Voice verification only at 60% due to noise and other possible factors.