Abstract
Effect of Noise Type and Signal-to-Noise Ratio on the Effectiveness of Noise Reduction Algorithm in Hearing Aids: An Acoustical Perspective
Highlights
Hearing aids are amplification devices recommended for persons with hearing impairment
The amount of noise reduced by noise reduction (NR) algorithm in noise alone conditions / environment is important since comfort in noisy condition is a factor in determining the overall satisfaction in a hearing aid user, which in turn affects the duration of hearing aid use
The results showed that Waveform Amplitude Distribution Analysis (WADA)-signal-to-noise ratios (SNR), Perceptual Evaluation of Speech Quality (PESQ) and Envelope Difference Index (EDI) parameters were significantly different for all types of noise across the all the three SNRs
Summary
Hearing aids are amplification devices recommended for persons with hearing impairment. Due to advancements in research and digitization, hearing aids have undergone immense changes in technology. Implementation of technologies such as directional microphones, compression and noise reduction algorithms in hearing aids have improved perception of amplified speech. The benefit from directional microphones, wide dynamic range compression, noise reduction (NR) algorithms in hearing aids are assessed using behavioral measures, such as speech tests in quiet and in the presence of noise, and by using subjective rating scales [1,2,3,4]. One is to study the amount of reduction in noise when there is noise alone; and second is to evaluate the perception of speech in the presence noise. The amount of noise reduced by NR algorithm in noise alone conditions / environment is important since comfort in noisy condition is a factor in determining the overall satisfaction in a hearing aid user, which in turn affects the duration of hearing aid use
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