Back-End Speech Recognition

Athreon’s back-end speech recognition technology can help you lower your documentation costs, shorten delivery times, and improve document consistency and accuracy.

Back-End Speech Recognition Overview

Athreon’s automated back-end speech recognition is powerful AI technology that improves workflow and reduces costs for clients in a variety of industries. From healthcare to law enforcement to research, our speech recognition solution enhances workflow and promotes document consistency and quality as it works seamlessly in the background. In addition, there is no hardware for clients to buy and no licensing fees. Likewise, there is no speech recognition training required from the client. What’s more, our speech recognition technology continuously learns and adapts to the way you speak, which refines document output over time.

Speech Recognition Benefits

  • Reduced transcription labor costs
  • Faster document delivery
  • More consistent documentation
  • Zero capital investment
  • Streamlined workflow
  • Increased client satisfaction

Over 200 speech scientists have made our back-end speech recognition technology the best in the industry.

Back-End Speech Recognition Accuracy

Athreon has invested substantially to make the best speech recognition technology available to its clients. Our back-end speech recognition works well with both single- and multi-speaker media files. However, although it can generate drafts with astonishing accuracy, we never deliver transcripts to clients until they have been quality-verified by a human editor first.


Even though our speech engine often generates transcripts with 100% accuracy, we realize the technology is a productivity tool. Our back-end speech recognition is not a substitute for careful human monitoring. Athreon’s human editors review every speech-recognized draft before delivery to the client.

Athreon’s back-end speech recognition technology can reduce document turnaround time by as much as 50%.

Speech Recognition Editing & Methodology

Athreon has teams of highly-skilled editors that carefully review draft transcripts created by our back-end speech recognition technology. Our speech recognition methodology ensures that a human editor reviews every transcript that comes out of our speech engine before client delivery. Our human editors carefully listen to media files and compare them against speech-recognized drafts. Likewise, our editors meticulously correct speech misrecognitions so that we deliver letter-perfect documents to our clients.

What’s more, our production platform returns revisions made by our human editors to the speech engine for ongoing machine learning. Our speech technology continually learns from our editors’ changes, so draft accuracy improves over time. After an initial period of machine learning with a new client, Athreon’s speech technology can often generate documents that require little to no human editing. Regardless, all work that we process through back-end speech recognition is reviewed by human eyes before a client sees the final transcript in their in-box.

Athreon’s speech technology leverages artificial intelligence and machine learning to improve document quality and reduce delivery times.

Lower Costs and Shorten Delivery Times With Athreon’s Back-End Speech Recognition

With our speech recognition technology, Athreon can lower your costs for converting speech to text. In addition, because our speech recognition helps with so much of the heavy lifting, we can process jobs faster than transcription companies that rely solely on human labor. In most cases, our speech recognition technology can generate a draft transcript in a matter of minutes. And, provided the draft accuracy is high, human review is fast, and so is document delivery.

The amount of time it takes to review a computer-generated draft is considerably less than the time it takes to transcribe a document manually from scratch. So, from a cost and efficiency standpoint, using Athreon’s speech recognition makes brilliant business sense. Human editors can review and edit speech-recognized drafts in about half as much time as traditional manual transcription takes. And, these savings culminate in savings for our clients.