Accuracy + Speed = Human Like Conversations
The success of your voicebot is dependent on the accuracy of the transcription to your Conversational AI system. So why accept lower accuracy from a Big Tech Automatic Speech Recognition (ASR) solution. Get 90%+ trained accuracy and 300-millisecond transcription speed at a fraction of the cost with Deepgram.
More Accuracy Means Better Experiences
Poor transcription leads to incorrect responses by your Conversational AI system. Our Speech Models can be trained to your specific voicebot use case to obtain up to 90%+ trained accuracy including terminology, product names, acronyms, and accents. We are designed for enterprise speech recognition, so environmental noise and cross-talk during phone calls or from intercoms don’t phase us. Train our models for your voicebot use case.
Speed Without Sacrifice
How does 300 milliseconds sound? Pretty fast, right? And that’s without sacrificing transcription accuracy. Make your Conversational AI similar to a human conversation without a long response lag. With our Deep Learning Speech Platform, you never have to sacrifice speed for accuracy.
Lower your total cost of ownership.
Is the cost of ASR and associated computing resources slowing down your market acceptance or expansion? Our AI Speech Platform can run 300 audio streams on 1 GPU instead of 300 CPUs. A lower cost of ownership (TCO) can create more growth opportunities for your voicebot or Conversation AI system.
“Sorry, I didn’t get that.”
The most annoying thing about talking to voicebots, IVRs, or contact center agents is having to repeat yourself. With real-time AI speech recognition and 90% accuracy, you will never have to ask twice. If the Conversational AI system transfers the call to an agent, they can immediately read the transcript and never ask the customer to repeat her story, order, or issue. A great customer experience? You can say that again.
“Being able to rely on Deepgram transcription, both on the front and back end of the call is paramount to accurate emotion detection for our Call Center Customers.”
VP of Product
Captured 100% of our call center audio.
“There could be hundreds of issues a customer is calling in about. Add to this complexity there is a distribution of words, specific to each of our customer’s brands. We couldn’t get these words right using Google, Amazon or Speechmatics, and are thrilled to finally reach our accuracy goal with Deepgram.”
In a head to head test, Deepgram model training yielded a lower WER.
Create better conversational AI experiences with 90%+ accuracy and 300-milliseconds real-time transcription speed at a fraction of the cost of legacy ASR solutions.