Voice Analytics Technology Walkthrough (Part 4): Custom Acoustic Models

Posted by Aditya A M

Sep 25, 2018 4:54:38 PM

 

Some of the biggest hurdles in speech to text transcription are the speaking styles and accents, vocabulary and noise.  In order to overcome these challenges, we make use of the Microsoft Custom Speech Service. It enables the creation of customized language and acoustic models tailored to the application and the speakers to make the process more efficient and accurate.

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Voice Analytics Technology Walkthrough (Part 3): Text Analytics

Posted by Aditya A M

Sep 25, 2018 4:52:52 PM

 

Parts 1 and 2 of our technology walkthrough reached a point where transcription was completed and the speakers within the call were identified. The results from these aspects of the voice analytics solution can be seen below:

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Voice Analytics Technology Walkthrough (Part 2): Speaker Identification

Posted by Aditya A M

Sep 25, 2018 4:50:22 PM

 

In Part 1 of this Technology Walkthrough, we focused on speech-to-text processing and showed how we can segregate a given audio clip into its constituent speakers represented by alias tags and start and end times.

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Voice Analytics Technology Walkthrough (Part 1): Speech-to-Text Capability

Posted by Azmi Bin Mohamed Ridwan

Sep 25, 2018 4:47:24 PM

 

The blog post How Just Listen Works describes the basic working model of the Just Listen voice analytics solution. This time we dive into the details behind the speech-to-text aspect of voice analytics with the help of an interesting example: the Omarosa tapes.  

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How Just Listen Works

Posted by Siddharth Saxena

Sep 24, 2018 11:39:29 PM

From high growth sales and legal compliance to providing customer support, it is paramount for today's industry leaders to maximize their contact centre agent performance to get maximum business value. What if this can be achieved in real-time while calls are still ongoing to ensure positive outcomes?  Just Listen makes that possible by providing a platform where key information such as speaker recognition, real-time transcription, key entity extraction, sentiment analysis and compliance with call scripts and internal controls can be applied on an ongoing call across multiple languages. 

 

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