Transcription, a crucial component of modern contact centers activities, is largely facilitated by Automatic Speech Recognition (ASR) systems. These tools, however, can fall short in accuracy and reliability. Consequently, assessing transcript quality becomes imperative and has traditionally involved costly manual processes. Enter Large Language Models (LLMs), presenting
Are you looking for efficient ways to transcribe the call recordings of your Amazon Connect instance or custom contact center solution in AWS? In this video, our WebRTC Developer Advocate Hector Zelaya explores an approach that you can implement right away and doesn’t require any big changes
The seamless browser to browser real-time audio and video communication that WebRTC enables is supported by a complex infrastructure. Things like signaling, NAT traversal and codec optimization can be difficult to maintain by the average development team unfamiliar with the intricacies of the WebRTC stack. CPaaS providers
In a previous post, Evaluating and Improving Voicebot Flows with Call Stats, we introduced this vital health check for the continuous improvement of voicebot performance. Call statistics gauge bot effectiveness and identify bottlenecks and potential flow disruptions in AI agent workflows. Adding call stats to voicebot flows
