Do You Know How to Advance your Transcription Pipeline?

Sponsored by Deepgram

Companies have started using an Automatic Speech Recognition (ASR)-first approach to doing highly-accurate real-time transcription. Instead of voice-writing the first level, audio is transcribed with ASR and then passed onto real-time editors. In the last few years, the advent of end-to-end deep learning ASR systems has made it possible to reach real-time transcription accuracies of 85% or greater, without the need for human mediation. This is largely thanks to the ability to train custom models which are tailor fit for specific audio types, languages, accents, and environments.  Download now to learn more!