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Improve transcriptions with the Custom Vocabulary

Use the Custom Vocabulary to improve the accuracy of your automated transcriptions and captions by adding words specific to your business

 

🧰 What You Will Need

  1. A Membership.io account

  2. Some niche- or brand-specific words

Step 1 - Head to your Transcriptions Settings

Access the Transcripts page through your Profile Settings.

Step 2 - Choose the Vocabulary language

From here, choose the language from the Vocabulary list that you wish to update with some new terms. For example, if you are planning on uploading a media file with US English audio, choose that language and proceed.image-png-Feb-08-2024-11-05-37-2828-PM

Step 3 - Add words to your Vocabulary

Now you can start adding words to your Vocabulary. Simply type the word(s) into the field and hit Enter on your keyboard. Once you're done adding your terms, click Save. The next time you upload some media, those vocabulary terms will be used to improve the accuracy of the first-pass transcription.

image-png-Feb-08-2024-11-05-56-9275-PM

NOTE: There are some limitations to the characters you can enter into your Custom Vocabulary. The acceptable characters are shown below.

  • a - z

  • A - Z

Adding characters such as "@#%!/235" or anything else outside of the characters listed above will not be accepted as a Vocabulary term.

Tips:

What are the best practices for improving my transcription accuracy? These tips will help you improve the accuracy of the transcription by introducing some best practices.

There are a few steps you will want to take when trying to optimize the accuracy of the automated transcriptions that Membership.io provides.

  • Keep your Custom Vocabulary up to date and make sure you are transcribing in the correct language

  • Speak clearly in all uploaded media

  • Have a dedicated recording device like a microphone condenser, lapel mic, etc.

  • When recording a meeting, try to have only one person speak at a time

  • Avoid echoing and noisy rooms as well as wind and background noise when possible

 

📚 Up Next

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