How OneVoice’s Voice Recognition Technology Works
For starters, OneVoice voice recognition technology actually works.
Unfortunately, ineffective and poorly designed voice recognition technology has made skeptics out of many health care professionals. But once these practitioners experience how OneVoice seamlessly transforms voice to data, it doesn’t take a giant leap to realize the benefits in dollars.
And who doesn’t like a little extra padding in the pocket?
We thought so.
Voice Recognition Technology Based on Conversational Modeling
Using conversational modeling instead of more formal, structural language, we built our system to understand the way real people speak. In a perfect world, we’d all sound exactly the way our high school English teachers dreamed we would, but who are we kidding? We all have accents and dialects we can’t shake. Every time you dictate “rachischisis” and your current system spits out “ray kissed his sis” you understand what we’re talking about. (For more on just how challenging it is to map the human voice)
So we gave OneVoice’s system the flexibility to understand how people really talk—even with varying accents, dialects, voice styles and speeds.
Want to guess what happened?
Our speech recognition engine consistently outperforms the competition and slays the dragon of healthcare transcription. Every ray-kissed-his-sis time.
Voice Recognition Technology Capable of Continuous Learning
You’ve seen that movie where the A.I. just keeps learning, right? And it’s amazing (until the A.I. goes rogue and then … well … nevermind … ) because we’ve come so far in the world of artificial intelligence that we’re actually offering you a continuously learning A.I. of your own. (Please take proper precautions and don’t feed it after midnight.)
Every time an editor makes a change in a transcription, our continuous learning engine quietly files that data away.
And next time?
Our little A.I. automatically incorporates the editor’s change into the newest transcription.
This learning from experience improves performance over time. Word selection, medical terminology, data structuring, and even meaning capture becomes more accurate than ever before.
Basically, we’re giving you permission to chat it up with the robot in your pocket without feeling remotely strange about that childhood dream come true.
Even if you’re not ready for a demo, there a still a few things you can do to increase the accuracy of any voice recognition app you might be using. It sounds self-explanatory but background noise and using the right microphone make a big difference.