Uploading and transcribing audio files
Uploading your audio recordings
You can upload audio recordings of user interviews to your EnjoyHQ account.
Optionally you can add a transcript - if you don't have it handy, EnjoyHQ can generate one for you, automatically (see below) or you can add your own later by selecting "Edit" option from the "Edit & More" menu.
Supported audio formats
EnjoyHQ works with most audio file formats, including .mp3, .m4a, .wav and .ac3. Recordings can be uploaded straight from your computer as well as Google Drive, Dropbox and Box.
You can link to a particular time in the audio file, for example to share a highlight pointing at a specific quote in the recording. To create a timestamp link, select part of the text and click on the 🕐clock icon in the content editor:
Timestamps use a custom format, which allows for specifying the exact time of the event you want to link to. The format is as following:
where HH represents hours, MM minutes and SS seconds, all need to be input as double digits. For example:
as the link target would link to the 1st hour, 12th minute and 3rd second in the recording.
👆 In this example - the link would advance the player to the 7th second of the recording.
When uploading an audio file you can optionally enable an option to generate automatic transcript for you recording.
If you didn't request the automatic transcription when uploding the file, you can request it after the file has been processed:
Once your audio file is transcribed, we will automatically add it to your upload and create timestamp links to parts of the recording assigned to the given speaker:
You can use the Search and replace function to update all speaker names:
Audio recording transcriptions and privacy
The audio files are stored in a redundant storage service in both US and the EU (Ireland) to ensure availability and adequate access to the audio content. All access to audio files requires an active EnjoyHQ session and they cannot be played unless you're signed into your account.
From the privacy perspective - all audio files you choose to transcribe are 100% anonymous: we use a machine learning service to transcribe the recording, so there's no human involvement during any of the processing steps.
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