![]() ![]() Since YouTube introduced automatic captions, some content creators have built entire channels around the technology’s limitations. Related: YouTube Closed Captioning for Accessibility: Why and How Automatic caption issues can be entertaining for some users, but frustrating to others Imagine if you could only read two out of every three words on this page could you still understand the content? ![]() Background noise can worsen the accuracy, and while Google’s machine learning captions have made enormous strides since 2009, the service still has trouble understanding homonyms, acronyms, and speakers with certain accents.Įven at the higher end of that range, a 70% accuracy rate simply isn’t good enough. The University of Minnesota at Duluth’s Media Hub estimates that YouTube automatic captions typically provide about 60-70% accuracy, which varies significantly depending on the quality of the audio content. Related: Becoming More Accessible on YouTube Automatic captions have an accuracy problemĬaptions are a crucial accessibility feature, but in order to be useful, they need to be accurate. “With YouTube expanding its index at a breakneck speed of about 20 hours of new material uploaded each minute, access to this vast body of video material becomes increasingly challenging,” Google’s research team wrote a month after the feature rollout. Of course, automatically generated captions have limitations - and arguably, they’re not a true accessibility feature. The company quickly touted the feature as beneficial to people with certain hearing disabilities. In November 2009, Google introduced automatic captions to YouTube. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |