The only caveat at the moment is that much of the work has to be done by the channel administrator. The timecoded transcripts, machine-generated or not, can be used in environments beyond YouTube, such as for creating captioned DVDs or QuickTime files. The translation feature adds another dimension to existing videos for reaching wider audiences, and of course, for language courses. For example, a transcript can be generated for any lecture video. The Automated Caption feature can be used as a simple and straightforward transcription tool for any video that would benefit from transcription. Only English-language transcripts are supported. YouTube will process it using the same ASR technology and return a timecoded transcript that can be used for captioning. The channel administrator can upload the text file. This is useful in the case where an existing transcript is available, but does not contain timing information. The automatic timing feature allows the uploading of a transcript file so that it can be timecoded. Make sure to try out the translation option: Try out this example with an edited caption file. The "Translate Caption" option continues to be available. At that point, the Closed Caption button becomes a toggle for the captions track and the "Transcribe Audio" option is no longer available. Again, only the channel administrator can perform this task. Once the timecoded transcription file is fixed, it can be re-uploaded as a new captions track for the video. This text file (.sbv format), containing the timecoded transcription, can be edited to fix transcription mistakes with any simple text editor. The machine generated transcription file can be downloaded by the channel administrator for editing. All new uploads will be automatically submitted for machine transcription, unless there is a request to opt out. Given the recent release of this feature, not all existing Columbia on YouTube videos have been submitted for machine transcription. (You may need to start playing the video to have the Closed Caption button appear.) Make sure to try out the translation option:Īfter watching for no more than a few seconds, it is easy to spot the errors in the transcription, but the text is sufficient to understand what is happening and for use in search tools. Try out the machine-generated captions using the above instructions with this video from the Columbia University Libraries. Selecting the translate command allows an on-the-fly translation of the captions to 51 languages. Revisiting the menu activated by the black arrow next to the Closed Caption button reveals a Translate Caption option. See "Improving Captions", below.Īnother interesting option is available once captions are on. If the "Transcribe Audio" command is not available, then the available captions are not machine generated. You can turn off captions by toggling the Closed Caption button. Confirm to remove the alert box and the captions will be shown at the bottom of the video. An alert will notify you about the experimental aspects of this feature and by Google's estimates, only about 70% accurate. (Hint: when the arrow is black, the menu can be activated when it is gray, the menu is not available.) Now select the "Transcribe Audio" command under Caption Actions. Turning on Closed Captions will activate a menu when you mouse over the arrow just to the left of the button. Once the audio track has been transcribed, the closed caption option becomes available to the viewer via the video controller.įor the viewer, there is a tricky maneuver necessary to view the automatic captions: (1) mouse over the Options button on the controller, the "up" arrow, to reveal the Closed Captions (CC) button (2) toggle on the Closed Captions button. We believe rejection occurs because of poor-quality audio. Machine transcription takes a few hours and we have discovered that some videos are not accepted for machine transcription. Any video uploaded to the channel can be selected for processing for machine-generated transcription by the channel administrator. This entry will review these features in detail.Īutomatic captions uses automated speech recognition (ASR) technology, the same voice recognition algorithms found in Google Voice, another Google service that transcribes audio recordings (in this case, for phone voicemails). These new features are Automatic Captions & Automatic Timing. See our news posting announcing this release. The Columbia on YouTube EDU channel was selected as one of a limited set of partner channels to feature YouTube's new automatic captioning services.
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