Python based Frequency Sampling Technique Algorithm for Hearing Impairment
Yogita S. Mahadik1, Mahesh T. Kolte2
1Yogita S. Mahadik, She is pursuing her Post Graduation from the Department of VLSI and Embedded Systeem of Pimpri Chinchwad College of Engineering, Pune, India.
2Mahesh T. Kolte, is working as professor in the Department of Electronics and Telecommunication(VLSI and ES), Pimpri Chinchwad College of Engineering, Pune, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on November 30, 2019. | PP: 2634-2639 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7265118419/2019©BEIESP | DOI: 10.35940/ijrte.D7265.118419
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© The Authors. 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: Hearing is taken into account because the most vital senses of humans connects us to the world always and the communication between humans are mostly by speaking and listening. As per World Health Organization, 466 million People at Risk of the hearing impairment across the world. It adversely affects physical, behavioral, and social functions, as well as the general quality of live. The most task of the hearing aid is used to by selection amplify the audio sounds such the processed sound can be audible for hearing impairment. In this work, frequency sampling method is used to design a filter for hearing impairment. The proposed algorithm is implemented using python programming. The sound is categorized into two ways vowels and consonants. Vowels have low frequencies that means high pitch and are easier to hear. Consonants have higher frequencies and harder to hear. The changes in formants and pitch is observed which would be useful speech for hearing impaired.
Keywords: Hearing Loss; Python Software; PRAAT Software: Specch Words.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.