Volume 7 Issue 2 - July 2016

  • 1. Optimal method for pitch period estimation in scilab.

    Authors : Chetan Solanki, Chhaya Kinkar

    Pages : 254-258

    DOI : http://dx.doi.org/10.21172/1.72.542

    Keywords : Pitch Period, Pitch frequency, voiced and unvoiced sound

    Abstract :

    Speech is one of the natural forms of communication. Speech processing is emerged as one of the important application area of digital signal processing. with the advent of latest technologies, speech analysis has changed the potential in many security and confidential systems. Such systems are employed in automatic recognition system who is speaking on the basis of individual information included in speech waves. This technique is one of the most useful and popular biometric recognition techniques in the world especially related to areas in which security is a major concern. It can be used for authentication, surveillance, speaker recognition and a number of related activities. Many systems have been made which costs a lot due to expensive software which checks the voice characteristics of the input utterance, using an automatic speaker recognition system. This paper depicts analysis side of the system implemented using freeware language SCILAB. . In this paper we presented the result an experiment which is perform on 5 different persons to recognize the individual one. Recognition platform is implemented on SCILAB for recognition purpose pitch period or individual person is calculated. the signal processing application of SCILAB has become boon in comparison to MATLAB for all programmers.

    Citing this Journal Article :

    Chetan Solanki, Chhaya Kinkar, "Optimal method for pitch period estimation in scilab.", https://www.ijltet.org/journal_details.php?id=906&j_id=3246, Volume 7 Issue 2 - July 2016, 254-258, #ijltetorg