Voice to text Analytics

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Client challenges

Project scope

Our client is an American retail giant who wanted to convert the voice calls recorded at the Customer Service Desk to text.

Solution

Speech-to-text Engine

Datametica built a Speech-to-text Engine for the client to capture the sentiment of the conversation in the data in terms of Anger, Sadness, Fear, Surprise, Trust, Anticipation, Disgust, and Joy.

Benefits

operational
Optimized performance

Optimized performance customer handling process

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Accurate analytics

Accurate Sentimental Analytics on the text data

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Tools / Technologies
  • Pocketsphinx
  • Kaldi
  • Java
  • Python

 

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