Closed captions have grown to be an important part of the video experience. While they assist deaf and hard of hearing people in enjoying video content, a study in the UK discovered that 80% of closed caption use was from those with no hearing issues. Not only that, but Facebook found out that adding captions to a video increased view times on their network by 12%. These reasons, along with regulations such as the Americans with Disabilities Act and rules from the FCC, have realized the need to caption video assets. However, caption generation can be time consuming, taking 5-10 times the length of the video asset, or costly if you are paying someone else to create them.
A solution is automatic speech recognition from machine learning. This the ability to identify words and phrases in spoken language and convert them to text. The process offers content owners a way to quickly and cost effectively provide captions for their videos. To address this, IBM introduced the ability to convert video speech to text through IBM Watson. This was added to IBM’s video streaming solutions in late 2017 for VODs (video on-demand). It has recently been expanded to recognize additional languages.
Integrated live captioning for enterprises is also available, although differs in several ways from the VOD feature talked about here.
