Abstrait

Effect of LPC Based Synthesis on the Vocal Calls of Indian Ringneck and African Grey Species of Parrots

Kamaljit Singh Arora, Randhir Singh, Jang Bahadur Singh, Parveen Lehana

Speech signal processing is one of the interesting research areas now-a-days and it has been explored for various applications. For example, speech synthesis is a synthetic signal processing method to produce exactly same replica of output speech as that of original input speech using various parameters derived from the recorded speech. Vocal signals generally represent an important part in the life of birds since they do not have a strong smelling sense. These signals help birds to protect themselves from any threat or danger and are needed for finding food, water and shelter. Synthesis of calls has many applications for e.g. synthesizing an alarm call may be used to save the bird from any danger or to prevent bird flu by providing a proper habitation to the birds, etc. The vocal signals which comprised of some special sounds usually given for a particular communicating activity, known as a bird call. Since the basic mechanism of sound production in birds is almost similar to that of humans, LPC model may be used for the synthesis of vocal calls of birds. In this paper, the validity of LPC model have been successfully investigated by estimating speech parameters, visual analysis of spectrograms, subjective evaluation, MOS scores, etc. for the synthesis of the calls of Indian Ringneck and African Grey species of parrots