An opinion piece by freelance writer and journalism professor David R. Wheeler posted by CNN sheds light on why automatic voice recognition systems can never replace the accuracy of the human ear. According to Wheeler, a professor at Asbury University in Kentucky, much of the public believes that computers are on the cusp of being able to understand human language perfectly, despite the fact that research shows and many linguists and cognitive scientists believe that idea is completely wrong. Read more about what Wheeler has to say about less-than-perfect automated voice recognition systems.
Another argument why automated voice recognition lacks the human touch
August 23, 2013 By