Use of Preprocessor with Frequency Amplitude Modulation Encoding (Fame) For Speech Quality Enhancement in Cochlear Implant to Aid Hearing Impairment
Deepti Gupta1, Pratistha Mathur2, Peeyush Tewari3
1Deepti Gupta, Computer Science, Banasthali Vidyapith University, Jaipur, India.
2PratisthaMathur, Information Technology, Manipal University Jaipur, Jaipur, India.
3Peeyush Tewari, Applied Science, Birla Institute of Technology, Noida, India.
Manuscript received on 06 August 2019. | Revised Manuscript received on 12 August 2019. | Manuscript published on 30 September 2019. | PP: 5849-5855 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5488098319/2019©BEIESP | DOI: 10.35940/ijrte.C5488.098319
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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: Cochlear Implant is a powerful technical device that facilitates hearing sensation to aid hearing in deaf or partially deaf persons. In this paper a novel method of adopting a preprocessor and using its output for Frequency Amplitude Modulation Encoding (FAME) technique has been studied. This enables filtering of noise from speech before sending it to the electrodes of Cochlear Implant. Preprocessor with FAME gives better results when compared to other techniques which are used for noise removal from the speech for Cochlear Implant users. Also this technique gives a completely new and better speech perception to the Cochlear Implant (CI) users.
Index Terms: Cochlear Implant (CI), Independent Component Analysis (ICA), Speech perception, Hearing in Noise Test (HINT), Frequency Amplitude Modulation encoding (FAME).
Scope of the Article: Frequency Selective Surface