Machine learning predicts when background noise impairs hearing – Physics World

Machine learning algorithms could one day be used to improve speech recognition in hearing-impaired people, researchers in Germany have shown. Using a novel algorithm, Jana Roßbach and colleagues at Carl von Ossietzky University could accurately predict when people with both normal hearing, and those with different levels of hearing impairment would mishear over 50% of words in a variety of noisy environments – an important test of hearing-aid efficacy. The lives of many hearing-impaired people have been significantly improved by hearing aid algorithms, which digitize and process sounds before delivering an amplified version into the ear. A key challenge still faced by this technology is improving the devices' ability to differentiate between human speech and background noise – something that is done using digital signal-processing algorithms. Researchers often use listening experiments to evaluate the ability of hearing aid algorithms to recognize speech.