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Benefits of Phonetics-based Speech Analytics Engine

June 13, 2013 by Morgan Pulitzer - Last Updated: June 04, 2019

There are two types of technology that drive a speech analytics platform. One is Large Vocabulary Continuous Speech Recognition, or LVCSR. This is essentially speech-to-text technology and is dependent on the dictionary to identify words that are contained and spoken within phone conversations.

The second type of technology is phonetics-based. This technology uses original audio files to identify the string of phonemes, which are the smallest units of sound that make up a language, to match the search criteria put forth by the user.

How Does a Phonetics-based Engine Differ?

Phonetics-based speech analytics technology is not dependent on the words within a dictionary and can identify slang, unique product names and different regional dialects.

For example, here are some situations of the spoken word, which may vary from region to region. A phonetics-based solution can pick up all of the calls that reflect the following types of phrases:

1. Appointment setting:

  • “I’d like ta make an appointment.”
  • “Have you ever ben here before?”

2. Thanking the caller:

  • “Heng you for calling”
  • “Thank you fer calling”
  • “Then kyou fur callin”

3. Information collection by agents:

  • “Whaddiz your first name?”
  • “Whuddiz your first name?”
  • Other benefits of phonetics-based engines

    • It can be faster than speech-to-text.
    • It allows for broad search terms to be analyzed, like industry jargon, unique product names, acronyms, accents and dialects

    For more on how to use a speech analytics solution to help your business identify specific phrases and keywords being spoken by your customers or employees, contact us any time.

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