02332caa a2200229   4500008004100000022001400041100002300055245014400078260000900222270012200231270011000353270002700463270003100490490002200521520131800543653010701861700001501968773003701983856005002020942001502070999001702085210629s9999    xx            000 0 und d  a2474-7556  aSharath Kumar, K.S 0aEffect of Noise Type and Signal-to-Noise Ratio on the Effectiveness of Noise Reduction Algorithm in Hearing Aids: An Acoustical Perspective  c2017  aDepartment of Audiology (New JC block), Manasagangotri, AIISH, Mysuru - 570 006, Karnataka, India, Tel: +919845421986  aProfessor of Audiology, Department of Audiology, Manasagangotri, AIISH, Mysuru - 570 006 India, Karnataka  mmanjulap21@hotmail.com  msharathkumarks08@gmail.com  vVolume 5  Issue 2  aPurpose: The study evaluated factors that influence the effectiveness of noise reduction (NR) algorithm in hearing aids, through acoustical measures. Methods: Factorial design was employed. Study sample: The output from hearing aid, with and without NR at three signal-to-noise ratios (SNR) with five types of noise, was recorded. The effect of noise reduction was studied through objective measures such as Waveform Amplitude Distribution Analysis - Signal-to-Noise Ratio (WADA-SNR), Envelope Difference Index (EDI), and Perceptual Evaluation of Speech Quality (PESQ). Results: The results revealed that when NR was enabled, it was effective in reducing the noise. However, when speech was presented in the presence of noise, the NR was effective in enhancing certain acoustic parameters of speech; like signal-to-noise ratio and envelope. Conclusion: The study utilized group of parameters in assessing the output from the hearing aid which helped in elaborating the subtle changes in the output of the hearing aid with and without NR processing. NR algorithm when ‘ON’ is helpful in reducing noise which in turn can improve speech perception and thus the duration of hearing aid usage. However, the amount of reduction provided by NR algorithm depends on the type of noise, and the SNR in the environment.   aAcoustic analysis; EDI; Hearing aid; Noise reduction algorithm; PESQ; Signal-to- noise ratio; WADA-SNR  aManjula, P  aGlobal Journal of Otolaryngology  uhttp://dx.doi.org/10.19080/GJO.2017.05.555658  cFJASyFJAS  c17782d17782