White Paper: Choosing Speech Analytics Technology

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Written by Megan Jones

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

Megan is Editor at Call Centre Helper. She first started working for Call Centre Helper in 2013 and has held a number of roles - News Editor, Features Editor and now Editor.

She has visited a large number of award winning contact centres such as Tesco, Lego, BT and AA. She is well respected in the industry.

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