In fact, 79% state that a “frustration of using on-demand video is not being able to quickly find the piece of information I am looking for when I need it” as noted in the Unlocking the Hidden Value of Business Video report. Many executives are already realizing this pain point as well. Making content easy to find becomes a more crucial problem to solve as video archives grow. To learn more about using automation for captions, reference this Convert Video Speech to Text with Watson article.Ī less obvious benefit for transcripts is increasing discoverability of video assets. As a result, closed captions are crucial for providing context for this growing number of users watching content with no sound. ![]() In fact, Facebook discovered that a staggering 85% of video content on their platform was watched muted. However, beyond being considerate and legal reasons, there is also a growing preference around watching content muted. For a more complete list of regulations, reference this What is Closed Captioning and How Does it Work article. These range greatly by country, state and industry and includes regulation such as the Workforce Rehabilitation Act and the Americans with Disabilities Act. There are also a variety of regulations and legal reasons for doing closed captions. Overtly, they aid in reaching those hard of hearing or deaf, an audience that is projected to be 15% of the American adult population. Now closed captions are a very important aspect of a video strategy. The first and more visible of these benefits are related to providing closed captions for your video content. There are two large benefits inherent to video transcripts, one more visible to end users and one less visible. It can vastly cut down on the time commitment to manage video libraries. As a result, automated video transcription through converting audio to text can be a huge benefit. Now expecting an employee to devote an entire work day to transcribing an hour of audio can be an unreasonable, if not prohibitively costly, ask. How long it takes to transcribe content is up for debate, largely as it depends on the individual doing it. One rough estimate puts an hour of audio as taking a minimum of 4 hours to transcribe, with the caveat that it could take 6-8 hours for most and even 8-10 hours if many individuals are talking in the audio. It often involves slowly listening to the audio again and again to write down dialogue. ![]() Manually transcribing audio is a time consuming and, arguably, painful process. Benefits of automated video transcription Alternatively, you can sign up and start uploading files to test it out. Here is a guide for using Watson to generate captions over IBM Watson Media. This file can be used in any text editor to view the transcription, or uploaded to services that recognize the WebVTT format. This transcription is then associated with the video file, and can be used over the IBM’s video streaming and enterprise video streaming platforms or downloaded as a WebVTT text file. So a 20 minute video would take roughly 20 minutes to generate the transcription. Once the language is set, it takes roughly the length of the asset to create a transcription of the audio. Setting the language can be done manually or setup to automatically transcribe content uploaded in the future. Content owners simply need to upload their video content to the service and select a language for the transcription process to start. Furthermore, this is included into the service for these offerings, at no additional cost. With IBM’s video streaming and enterprise video streaming offerings, this is done through using the IBM Watson technology. For example, there is a big difference between someone saying “we have a mail problem” versus “we have a male problem” even though both sound the same.Ĭonsequently, the success of a transcription service will depend on the strength of the AI behind it. It then needs to not only decipher what they were saying but the meaning behind it as well. This is a complex process that needs to separate dialogue from other noises to focus on transcribing the spoken language. Variables that lower automated transcription accuracyĪutomatic speech to text relies heavily on machine learning.Considerations when using automated audio to text.Benefits of automated video transcription.Note: some of these topics were covered in our Simplify Your Corporate Video Strategy webinar, with the archived version available for immediate viewing. Using this technology, content owners can start generating transcripts through simply uploading a file. ![]() This takes AI (artificial intelligence) and uses it to transcribe speech through combining information about grammar and language structure. For those looking for a solution to scale or speed up video transcription, a solution is automated audio to text. Transcribing audio can be a slow process.
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