The use of Speech-to-Text in the classroom

Extract intelligent insights from classroom interactions using Exemplary AI.

The use of Speech-to-Text in the courtroom

Extract valuable insights from courtroom discussions using Exemplary AI.

Diarization for Conversational Apps - All You Need to Know

Who said what? Diarization and what it powers in Your Conversational Apps

Generating Summaries from Conversation Transcripts

Text Summarization is one of the best approaches used to increase work efficiency by use of Natural Language Processing (NLP) on generated Transcripts.

Scribe: Building an AI-powered meeting notetaker (Part 1)

We walkthrough how to build a production ready AI powered notetaker, using Next.js and our SDK

ASR Solutions: Building In-house vs using a SaaS provider (Part 2)

When is building an ASR solution in-house worth it? What are the challenges when compared to using a SaaS provider?

ASR Solutions: Building In-house vs using a SaaS provider (Part 1)

Do you need to build an ASR stack in-house or run with an established ASR Provider? Learn from our findings from investigating both these solutions, and understand the trade-offs when building ASR backed solutions

ASR - A brief history and intro

Automated Speech Recognition (ASR) transcribes voice audio data into text data, that which is consumable and searchable. We go through its history and the current state of the art.

Going beyond Speech-To-Text

We explore what can be achieved beyond searchable transcripts by combining Automated Speech Recognition with Natural Language Processing, Natural Language Understanding and use of Large Language Models.