Here’s something I’ve been waiting for — a sound processing algorithm promising to isolate speech in noise and, once and for all, solve the “cocktail party” problem for hearing aid wearers.
A team of researchers at Ohio State University has developed a new algorithm that identifies speech-based sound waves in noisy environments and eliminates other noise, and they claim to be delivering dramatic results in tests with hearing-aid users.
The results include improvements in speech comprehension in noise by test subjects who scored only 25 percent without the new algorithm but up to 85 percent with it.
If the results hold up and the algorithm can be successfully integrated into the DSP-based sound processing systems of high-end hearing aids, the team led by Ohio State Professors Eric Healy and DeLiang “Leon” Wang may have solved the biggest problem people with hearing loss face — understanding what other people say in noisy environments. [Read more...]