Hearing Loss Case Study

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In the working place, lots of workers are facing with different levels of noise. The excessive noise exposure can cause hearing loss. There is nearly 360 million of people are suffering from hearing losses (WHO). In Canada, around 20% of the people have this problem (Static Canada). Moreover, the static Canada shows us that, nearly 42 % people are in the risk of noise-induced hearing loss (NIHL). Present research indicates that people will be benefited if they use hearing protection device (HPD). Nowadays, NIHL is a common scenario in our society. There are two factors are responsible for damaging our inner and outer hair cell named sound pressure level and the duration of the sound (both factors are dependent each other). Once NIHL took place, it cannot be cured by surgical or medical procedure but it can preventable. There are three ways to save our ear from the effects of higher sound pressure level. First, try to do engineering control (try to reduce noise…show more content…
In (effect of dynamic range) summarize that, if the DRC in hearing aids act fast then the ILDs change and if the attack and release time are so slow then it roughly preserves the spatial cue. However, in a spatially separated mixture, the independent compression has the effect on a normal-hearing people when asking to concentrate on a particular speech. The main problem with DRC algorithm is that it has a trade-off between frequency resolution and time delay (9). A multi-channel, frequency warped based DRC algorithm is described (frequency warping) and provides a very close frequency resolution that closely matches to the Bark scale with minimum delay. However, it introduces the frequency dependent group delay. To reduce the processing time delay they proposed single channel dynamic range compression technique, although this method does not consider the frequency resolution of the human ear

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