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Practical Guide to Azure Cognitive Services

You're reading from  Practical Guide to Azure Cognitive Services

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Pages 454 pages
Edition 1st Edition
Languages
Authors (3):
Chris Seferlis Chris Seferlis
Profile icon Chris Seferlis
Christopher Nellis Christopher Nellis
Profile icon Christopher Nellis
Andy Roberts Andy Roberts
Profile icon Andy Roberts
View More author details

Table of Contents (22) Chapters

Preface Part 1: Ocean Smart – an AI Success Story
Chapter 1: How Azure AI Changed Ocean Smart Chapter 2: Why Azure Cognitive Services? Chapter 3: Architectural and Cost Optimization Considerations Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure Chapter 5: Azure Cognitive Search Overview and Implementation Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions Chapter 7: Pulling It All Together for a Complete KM Solution Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
Chapter 8: Decluttering Paperwork with Form Recognizer Chapter 9: Identifying Problems with Anomaly Detector Chapter 10: Streamlining the Quality Control Process with Custom Vision Chapter 11: Deploying a Content Moderator Chapter 12: Using Personalizer to Cater to Your Audience Chapter 13: Improving Customer Experience with Speech to Text Chapter 14: Using Language Services in Chat Bots and Beyond Chapter 15: Surveying Our Progress Chapter 16: Appendix – Azure OpenAI Overview Index Other Books You May Enjoy

Working with real-time audio and batch speech-to-text data

Now that we have provided an overview of the various services you can leverage and use cases you can expect to deploy using the Speech services, we will start to explore deeper to better position our example of building a customer service feedback system. Due to the nature of our example, we will focus on how to use batch audio transcription services; however, with so many applications for real-time transcription, we will explore both options in this section, as the approaches are vastly different.

In the case of a call center, and improving the customer service process, there could be applications for real-time feedback to be provided to the customer service agent. This could provide a sentiment score as the conversation is happening based on the words being used within the conversation; however, with the nature of any conversation, the tone could change very quickly from positive to negative and could cause a distraction...

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