Theory for algorithm: "For hearing-impaired listeners, the average improvements were about 2 and 6 dB, indicating that the relative improvement due to the proposed adaptive gain stage was larger for these listeners than the benefit of the original processing stages."
(Peripheral Auditory Process Diagram is brought to you by Audio Plastic) ((Video explanation if you are unable to understand what I said during the video: Image shows the auditory periphery (where the middle of the ear is stimulated by a linear digital filter with suitable frequency response). It starts by the acoustic pressure entering the ear through waveform. From there, it goes to the middle ear with the help of algorithm turns the acoustic pressure fluctuations into stapes displacement which then, allows the fluid motion to enter the cochlear so the person can hear.))
Background: There is three types of hearing loss: conductive, sensorineural, and mixed hearing loss. Conductive hearing loss is where there is problems with the ear itself, not the inner ear. Sensorineural hearing loss is when there is problems within the inner ear and in nerve-related. Mixed hearing loss is where you have both conductive and sensorineural hearing loss. When someone has hearing loss, they either have trouble absorbing the sound waves, frequency or compression and sound energy or, their brain is not transcribing the sounds to the ears. It really depends on the depth of their hearing loss and how they obtained it. Algorithms let hearing aids classify, and recognize sounds as well as processing them.
1. When using algorithm for hearing devices such as hearing aids or cochlear implants, they are able to work with their surroundings that were not included during their training and/or testing before being implanted into the devices. It was interesting for the team to see the algorithm make the devices adapt to the scenarios they were being placed in such as a noisy cafeteria and a conversation where multiple people were speaking. Sentences were heard clearly from each scenario due to algorithm.
2. In another study, non-hearing impaired people were evaluating perceptual effect of reverberation reduction algorithm. They used non-hearing impaired people to reduce the variables that could interfere with the study. They discovered that it decreases the reverberation, and that speech signals are not disturbed.
3. Algorithms with dynamic-range compression have the greatest intelligibility advances for most backgrounds available. Devices lacking algorithms without the dynamic-range compression show either a low benefit, or none at all. So, it goes to show that having algorithms with dynamic-range compression improve the equal-loudness for both normal-hearing and hearing-impaired people.