It’s not easy, but that could change soon.
, the team said its code could “serve as a foundation for building useful applications and for further research on robust speech processing” and that it hopes “Whisper’s high accuracy and ease of use will allow developers to add voice interfaces to a much wider set of applications.
There’s also the fact that it’s not exactly a user-friendly process to install Whisper for most people. However, journalist Peter Sterne has teamed up with GitHub developer advocate Christina Warren, announcing that they’re creating a “free, secure, and easy-to-use transcription app for journalists” based on Whisper’s machine learning model.
I compared a transcription generated by Whisper to what Otter.ai and Trint put out for the same file, and I would say that it was relatively comparable. There were enough errors in all of them that I would never just copy and paste quotes from them into an article without double-checking the audio . But Whisper’s version would absolutely do the job for me; I can search through it to find the sections I need and then just double-check those manually.
Sterne admitted that tech from Apple and Google could make Stage Whisper obsolete within a few years — the Pixel’s voice recorder app has been able to do offline transcriptions for years, and a version of that feature is starting to
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