IV. ConclusionA crude speaker recog

IV. Conclusion
A crude speaker recognition code has been written using the MATLAB programming language. This code uses comparisons between the average pitch of a recorded wav file as well as the vector differences between formant peaks in the PSD of
each file. It was found that comparison based on pitch produced the most accuracy,
while comparison based on formant peak location did produce results, but could likely be improved. Experience was also gained in speech editing as well as basic filtering
techniques. While the methods utilized in the design of the code for this project are a
good foundation for a speaker recognition system, more advanced techniques would have to be used to produce a successful speaker recognition system.
REFERENCES
Speech Production, Labeling, and Characteristics. Handout given in class.
Voice Recognition. Handout given in class.