Diarization for Conversational Apps - All You Need to Know

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

Sentiment Analysis - What is it? And its use cases.

We look what sentiment analysis and use it to detect sentiment of spoken text such as transcripts. We also delve into where sentiment analysis is particularly useful.

Extract Insights from meetings using Exemplary AI

Automatically extract valuable insights from meetings and we describe the types of insights you can extract using Exemplary AI.

LLMs, a brief history and their use cases

LLMs or Large Language Models are machine learning models trained on a massive corpus and have shown exceptional capacity in Language Understanding.

The need for a Unified API and reasons to use it instead of directly integrating with Speech To Text providers

Exemplary AI’s Unified API is a vendor-agnostic open API, you may use access the best Speech-to-Text and NLP providers.

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.

OpenAI Whisper - Intro & Running It Yourself

This is an article about the newly launched OpenAI Whisper and different ways to deploy it.

List of Transcription Editors to consider for perfect transcripts / captions

Evaluation a means to generate and edit your transcripts? Use these transcript editors help to create, edit and deliver perfect transcript or captions.

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.