Effectuation of Acoustic Characterisics in Young Adults
Prarthana Karunaimathi V.1, Gladis D.2, Balakrishnan D.3
1V. Prarthana Karunaimathi, Department of Computer Science, Presidency College, University of Madras, Chennai, (Tamil Nadu), India.
2D. Gladis, Principal, Bharathi Women’s College, University of Madras, Chennai, (Tamil Nadu), India.
3D. Balakrishnan, Head of the Department of Audiology and Speech, SRM Medical College, Chennai, (Tamil Nadu), India.
Manuscript received on 04 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 7002-7009 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6039098319/2019©BEIESP | DOI: 10.35940/ijrte.C6039.098319
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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: Each human being has a voice that is distinct and unique. Extraction and analysis of the features of a person’s voice plays a vital role in diagnosis of diseases in the recent years. The basic parameters used for the voice analysis are Fundamental Frequency (F0), Jitter, Shimmer and Harmonics-to-Noise Ratio. Most of the prevailing Voice Analysis Software are highly commercial with complicated User Interface, requiring expertise to operate them. Hence the proposed study is carried out, which led to the development of a Voice Analysis Application called ‘Ephphatha’. A novel algorithm with improvised measures for voice analysis is used in Ephphatha. The acoustic parameters of duly collected voice samples were analyzed by Ephphatha and compared with the existing algorithms like PRAAT and Multi-Dimensional Voice Program (MDVP) of CSL(Computerized Speech Lab), with F-test analysis. The result showed no significant difference in F0 (p>0.05), except for its Standard Deviation values (p<0.001). The Ratio Of Variance (ROV) is less than or equal to 1 for F0. The other parameters are not significantly correlated. Also it showed that the shimmer values are moderately correlated (p<0.05), when Ephphatha is compared with CSL. It was also seen that all the parameters of PRAAT and Ephphatha have no significance difference (P > 0.05), except for the Shimmer values (p<0.001). Thus Ephphatha would undoubtedly equip the experienced clinicians with its novel approach and better User Interface.
Keywords: Fundamental Frequency, Jitter, Shimmer, Harmonics-to-Noise Ratio.
Scope of the Article: Building and Environmental Acoustics