Voice Recognition Technology

 

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.

Ready to set up a free demo (and adopt your own little A.I. that speaks your special language)? 

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.

“I was not a proponent of speech recognition, as I had spoken with colleagues at other hospitals who were unhappy with their speech recognition system, so it was with some reluctance that I began using [OneVoice]. However, the quality of the draft report was high from the beginning and the system quickly improved the department’s productivity such that I am very happy using it. It has had a tremendous impact on our department … with the ever increasing accuracy and how quickly we are able to turn around reports, I cannot imagine doing it any other way.”

Carl Fuhrman, MD, The University of Pittsburgh Medical Center