White Paper: Choosing Speech Analytics Technology

callminer-Right-Technology-for-Speech-Analytics
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CallMiner have released a White Paper called ‘Choosing the Right Technology for your Speech Analytics Project’.

Speech Recognition technology is an important consideration for any successful speech analytics project.

The core operation ‐ finding exactly where a term was spoken in an audio file ‐ has had many characterisations over the history of speech recognition, including word spotting, spoken term detection and audio mining. But a full speech analytics system builds on that to provide much richer detail about the content, so it can be useful for business intelligence applications.

In this paper, we look at the history, research and trade-offs between speech analytics approaches to help you determine the best approach for your speech analytics project. We also look at new techniques coming out of the labs, and whether they will have a significant effect.

Sections of the White Paper include:

  • The Two Approaches – Phonetics and LVCSR
  • Mapping Features to Functionality
  • Research Directions

Click here to download this White Paper.

Author: Megan Jones

Published On: 4th Dec 2013 - Last modified: 2nd Nov 2017
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