I have seen systems that can separate “male speaker” from “female speaker” but given the wide range of voice types, it’s not always accurate, and it does not designate between multiple female or male voices in the same file. Not being able to identify speakers is hugely problematic because much of our work involves more than one speaker. AI can’t parse it the way a human can. Additionally, AI takes one pass and that’s it whereas humans will play it over and over and use different headsets and audio tools to get the cleanest file. We need to hear accents and work amidst background noise or crosstalk of multiple speakers. Most of us don’t type jobs for a single speaker and only that one speaker for the rest of time. However, if you’ve ever spent time yelling at the little machine because it’s not hearing or understanding you, you also know there’s a long way to go. The more you use it, the better it gets at recognizing your voice patterns. If you use Alexa or Google Home or Siri, you know what I mean. It must be trained to recognize one voice and it doesn't do that accuratelyĪrtificial intelligence is called that for a reason. But it will never replace human transcription, and here are the top six reasons why. Yes, artificial intelligence and voice-to-text exists. And since we see technology create efficiencies and streamline processes every day, it’s common to think technology will “take over” the transcription industry too.
It’s common to have anxiety when embarking on a new career path. I even get it from Transcribe Anywhere graduates.
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