|
Briefing
|
- Speech and Noise Separating Algorithm – Researchers from Ohio State University applied machine learning to segregate sounds in hearing aids, enabling more accurate speech recognition from background noise, sound amplification, and volume adjustment
- Improved Hearing – Improved ability to understand spoken words amid babble noise among hearing impaired from 10% to 90%, and for those with normal hearing from 42% to 78%
- Outperforms Abled Hearers – Hearing impaired understood almost 20% more words than those with normal hearing who did not use the program
- Applications – Include better hearing aids, improved speech recognition programs, and other industrial and military applications
- Global Hearing Aids Market – Forecasted to grow 6.3% annually between 2015 and 2020, from $6.2 billion to $8.4 billion, according to research firm Markets and Markets
|
|
Accelerator
|
|
|
Sector
|
Healthcare/Health Sciences, Information Technology
|
|
Source
|
|
|
Original Publication Date
|
December 6, 2016
|
