Assistant Professor of Audio Engineering Technology Dr. Eric Tarr co-authored an article recently accepted for publication in the Journal of the Acoustical Society of America. The article is titled “Measuring the Effects of Spectral Smearing and Enhancement on Speech Recognition in Noise for Adults and Children.”
Tarr’s research investigated and sought to explain speech perception deficits by listeners with hearing loss. As part of the research, Tarr developed a novel digital signal processing algorithm to simulate hearing loss for listeners with normal hearing.
