ANIMAL RECOGNITION USING CROSS-CORRELATION

Speaker recognition and identification is considered as the major problem since ages. Many researchers have studied the human’s speech and analyzed to recognize and identify the speaker. A very less work has been done in the field of animal’s sound voice pattern identification. There is an acute need for speech processing in order to recognize the animals of interest as we are penetrating into the wildlife civilization area day by day. The study focuses on the development of a speaker recognition system comprising a cross correlation technique. Over 100voice samples of various animals and birds have been considered for the demonstration purpose, noise is added to it and then tried to recognize the animal from the database. By addition of various types of noise we have tried to make the program robust to various types of natural noises that we usually encounter in natural environmental cases.