Automatic Speech Recognition was enabled on Lecture Capture recordings from Monday 1st November 2021. This produces an automatic Interactive Transcript feature that students can choose to display or hide as they are reviewing Lecture Capture recordings. As a student plays the Lecture Capture recording, the relevant text is highlighted in the transcript.
Only Lecture Capture recordings that are associated with a Moodle module have a transcript applied. This means that Lecture Capture scheduled and shared via a public link will not generate an automated transcript. The automated transcript takes at least 30 minutes to generate after the Lecture Capture recording has processed. It can take up to a few hours for a transcript to generate.
If you need to apply a transcript to a recording made prior to November 2021, you need to make a small edit to the recording. Your recording will be reprocessed and a transcript will generate.
Transcript accuracy
As the transcript is automatically generated, the accuracy will vary depending on the audio quality, subject matter and accent of the presenter.
While there are many benefits to automatic transcripts, students should also be advised that:
Edit the Lecture Capture recording prior to correcting the transcript
Editing the Lecture Capture recording after you have corrected the transcript will overwrite your corrections and produce a new automated transcript.
Please note: For 2024/25 modules using Grid format, open the Block drawer and navigate to the Module dashboard block, select the link to Lecture Capture.
From 27 August 2024, the transcript is available for students to download from the recording. To download the transcript, advise students to open the link to the relevant Lecture Capture.
We recommend that students access the transcript feature through a desktop or tablet device. The transcript feature does not work on the Echo360 mobile app and is difficult to navigate using a mobile browser.
Lecture Capture recordings from 15th August 2022 have captions applied from the automated transcript, where the transcript is estimated to have an 85% accuracy level. The accuracy level of the transcript is estimated by the Automated Speech Recognition system in Echo360.
Where the accuracy level of the automated transcript is estimated to be lower than 85%, then captions will not be automatically produced for the Lecture Capture recording. You can follow the guidance below to manually apply your transcript as captions for individual recordings if required.
There may be occasions where you need to remove the transcript. For example, if the transcript is very inaccurate and is impacting on the effectiveness of the recording.
Note about deletion
Selecting to delete transcripts deletes all versions of the transcripts applied to the media. If you want to retain one or any of those versions, download the transcript VTT file(s) first, then delete the transcripts.
To remove the transcript:
The automated transcript takes at least 30 minutes to generate after the Lecture Capture recording has processed. It can take up to a few hours for a transcript to generate.
Only Lecture Capture recordings that are associated with a Moodle module have a transcript applied. This means that Lecture Capture shared via a public link will not generate an automated transcript.
The automated transcript feature was switched on for recordings from 1st November 2021. The transcript is not applied retrospectively.
If you need to apply a transcript to a recording from start of term, you need to make a small edit to the recording. Your recording will be reprocessed and a transcript will generate.
If you have opted in to automatically copy your recordings from Zoom to Echo360, the transcript will be ingested from Zoom and a new transcript will not be generated from Echo360.
Any recording from 15th August 2022, have captions applied from the transcript as long as the transcript is estimated to be at least 85% accurate. If no captions are displaying on the Echo recording, it may be because the recording was made prior to 15th August 2022 or the Echo Automated Speech Recognition engine estimated that the transcript was less than 85% accurate. You can manually apply captions.
Automated speech recognition can be inaccurate. Captions or transcripts of your recordings may contain words incorrectly transcribed as profanities e.g. swear words or inappropriate words. Alternatively, you might find that the captions or transcripts on your recordings are censoring words with a row of asterisks which means that students relying on captions are missing key information.
LEaD are gathering information on the impact of profanities and censorship in recordings. If you find any examples, please raise a ticket with us via the LEaD General Request Form on IT Self Service Portal.
Please include as much information as possible, including system used - Lecture Capture, Teams, Zoom, links to the recordings on Moodle and timecodes.