Machine learning improves human speech recognition

To understand how hearing loss impacts people, researchers study people's ability to recognize speech, and hearing aid algorithms are often used to improve human speech recognition. Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech recognition. The study consisted of eight normal-hearing and 20 hearing-impaired listeners who were exposed to a variety of complex noises that mask the speech.

‘키예프’에서 ‘키이우’로···우크라 지명 표기, 러시아식에서 우크라식으로 바뀐다

Manhattan’s Chinese Street Signs Are Disappearing

Searching for a grammar of materials to aid in discovery of catalysts