From the blog
Company Updates & Technology Articles
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.
John Jacob, Shantanu Nair
The need for a Unified API and reasons to use it instead of directly integrating with Speech To Text providers
ExemplaryAI’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.
Member of Staff
OpenAI Whisper - Intro & Running It Yourself
This is an article about the newly launched OpenAI Whisper and different ways to deploy it.
John Jacob, Shantanu Nair
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.
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.
Connect your assets and transcripts from your favorite ASR or Speech-To-Text provider and build conversational apps quick.
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