Hindi Speaking Person Identification using Zero Crossing rate and Short-Term Energy
L. P. Bhaiya1, Arif Ullah Khan2
1Lalit P Bhaiya, Department of Electronics and Telecommunications, Chhattisgarh Swami Vivekananda Technical University, Rungta College of Engineering and Technology, Bhilai, India.
2Arif Ullah Khan, Department of Electronics and Telecommunication, Chhattisgarh Swami Vivekananda Technical University, RSR Rungta College Of Engineering and Technology, Bhilai, India,
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 101-104 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0893072412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: language is man’s most important means of communication and speech its primary medium. Speech recognition is the ability of a computer to recognize general, naturally flowing utterances from a wide variety of users. Differences of physiological properties of the glottis and vocal tracts are partly due to age, gender and/or person differences. Since these differences are related in the speech signal, acoustic measures related to those properties can be helpful for speaker identification. Acoustic measure of voice sources were extracted from 5 utterances spoken by10 peoples including 5 male and 5 female talkers (aged 19 to 25 years old). The differences of speech long term features including zero crossing rate and short term energy for different person is studied.
Keywords: The differences of speech long term features including zero crossing rate and short term energy for different person is studied.