I. INTRODUCTION
Development of speaker identification systems began as early as the 1960s with exploration into voiceprint analysis, where characteristics of an individual’s voice were thought to be able to characterize the uniqueness of an individual much like a fingerprint.
The early systems had many flaws and research ensued to derive a more reliable method of predicting the correlation between two sets of speech utterances. Speaker identification research continues today under the realm of the field of digital signal processing where many advances have taken place in recent years. In the current design project a basic speaker identification algorithm has been written to sort through a list of files and choose the 12 most likely matches based on the average pitch of the speech utterance as well as the location of the formants in the frequency domain representation. In addition, experience has been gained in basic filtering of high frequency noise signals with the use of a Butterworth filter as well as speech editing techniques.