Speech Based Anti Stuttering Algorithm using Matlab
R. Prabhu1, P. Praveen Kumar2, J. Kavin kumar3, Dhivyapriya E. L.4
1R. Prabhu, Final year, Department of ECE, Sri Krishna College of Technology, Coimbatore.
2P.Praveen Kumar, Final year,Department of ECE, Sri Krishna College of Technology, Coimbatore.
3J.Kavinkumar, Final year,Department of ECE, Sri Krishna College of Technology, Coimbatore.
4Dhivyapriya E.L., Assistant Professor, Department of ECE, Sri Krishna College of Technology, Coimbatore.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2152-2155 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5491029320/2020©BEIESP | DOI: 10.35940/ijeat.C5491.029320
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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: Stuttering is one of the most occurring speech disorders. Usual onset of stuttering is from 2 to 5 years which can be cured in childhood but for 20% of cases it prolongs to adulthood. Its severity increases when a stuttered person faces public and when he/she gets anxious. It is a long-term disorder which cannot be permanently cured. This drawback will be externally overcome with the help of designed Speech based algorithm. This algorithm is implemented in five stages namely magnitude filtering, silence ejection, speech to text, repetition removal and text to speech (TTS). The project aims at removing the repetition of words. This can be used in speech recognition systems. This system helps in encouraging the person who suffers from stuttering to give an open talk in public.
Keywords: Repetition removal, silence ejection, speech to text, text to speech, magnitude filtering