Investigation of Denoising of Speech Signal using WaveShrink Method in Deaf Persons

Author:

J Nirmaladevi1,S Poornachandra2,RM Mahalakame3,P Jayavardhini3,V Ragsana R3

Affiliation:

1. Bannari Amman Institute of Technology

2. Mohamed Sathak A.J. College of Engineering

3. III Year Student, Bannari Amman Institute of Technology

Abstract

Abstract Speech is vital parameter in human cognitive and socio-emotional development. Deaf speech is even more complex to understand unless the noise is removed and improved its fidelity. Denoising of speech signal is an important pre-processing stage in speech signal processing. Denoising of speech signal not only removes the redundant coefficients (leads to data compression) but also improve the quality of speech signal. Waveshrink is a technique used to in this paper to suppress the redundant wavelet coefficient through threshold concept. Denoising concept find application in both signal and image processing. Denoising of the signal will improve in processing the deaf signal speech with any assistive technologies. Digital devices can use this denoised speech to compare and reproduce the deaf speech signal for emotional analysis and comparison of various speech parameters in real time environment.

Publisher

Research Square Platform LLC

Reference23 articles.

1. https://en.wikipedia.org/wiki/Human_voice

2. https://www.wyomingehdi.org/types-of-hearing-loss/

3. Rosenbaum, S., Simon, P.: Speech and Language Disorders in Children: Implications for the Social Security Administration's Supplemental Security Income Program. National Academies Press. 500 Fifth Street NW, Washington, DC 20001. (2016)

4. Hudgins, C.V.: A comparative study of the speech coordinations of deaf and normal subjects./. genet. Psychol. 44 ~ 3, 48. (1934)

5. Hudgins, C.V., Numbers, F.C.: An investigation of the intelligibility of the speech of the deaf. Genetic psychology monographs (1942)

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