Endpoint Detector

Analyzes an audio file which contains a period of background signal, and a period of speech

Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). This exercise is one of a set of speech processing exercises that are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
This MATLAB exercise analyzes an audio file which contains a period of background signal, followed by a period of spoken speech, and ending with a period of background signal. The analysis is conducted on a frame-by-frame basis, and, based on a set of short-time log energy and short-time zero crossings rate parameters, the program determines the frame that is the best estimate of the beginning of the speech signal and the frame that is the best estimate of the end of the speech signal.