VoiceSense on Voice Tech Podcast – Voice emotion analytics companies

Voice emotion analytics companies

By Carl Robinson
November 25, 2018

This blog post is a roundup of voice emotion analytics companies. It is the first in a series that aim to provide a good overview of the voice technology landscape as it stands. Through a combination of online searches, industry reports and face-to-face conversations, I’ve assembled a long list of companies in the voice space, and divided these into categories based on their apparent primary function.

The first of these categories is voice emotion analytics. These are companies that can process an audio file containing human speech, extract the paralinguistic features and interpret these as human emotions, then provide an analysis report or other service based on this information.



http://www.voicesense.com [1]

VoiceSense are another voice emotion analytics company based in Israel that uses Big Data predictive analytics, rather than their demographic and historical information, to predict the behaviour tendencies of individual customers. The company founders specialise in psychology, signal processing and speech analysis.

VoiceSense have developed an emotion detection analytic engine, which provides real-time indications of the four basic emotions: happiness, anger, sadness and contentment. The analysis is fully language independent, speaker independent, and has a short response time of 5-10 seconds. It reflects emotional changes in the speech over the last 30 seconds.

Given real-time audio data, the analytic engine provides a description of the person’s attitude and behavior in the current moment. VoiceSense also offers a personality classification feature, which works by exploring the typical speech patterns of an individual over the long term, and identifying the characteristic behavioral tendencies of the person. VoiceSense validates it’s personality classification using well-known personality systems, such as the Big 5 personality inventory.

A profile for the user is created, specifying the detected levels of risk affinity or aversion, tendencies for impulsive behavior and rule abidance, personal integrity, sociability, conscientiousness and well-being. Prediction scores are then calculated for specific consumer behaviors, which are then automatically incorporated into decision-making processes and stored in the CRM.

Their flagship product, Speech Enterprise Analytics Leverage (SEAL), assembles these technologies into a speech-based solution that can accurately predict future consumer behavior. It does this through the analysis of prosodic (non-content) speech parameters such as intonation, pace, and stress levels, in both recorded voice files and live audio streams. The system is backed by research and patents, and supports cloud, mobile and local environments.

SEAL can be applied to numerous use cases, such as:

“Turning predictive speech analysis into a common practice of every interaction.”

That’s it for this blog post. You should now have a good idea of the range of voice emotion analytics services on the market today. I hope this will inspire you to try integrating one of them into your product, or even building something similar from scratch.

The next blog post will be a roundup of another segment of the voice technology landscape. If you want to be notified when new blog posts and podcast episodes are published, subscribe to the newsletter!

Don’t forget to check out the podcast episodes at voicetechpodcast.com, and leave a 5 star review on iTunes or Stitcher !

You can always reach me on Twitter @VoiceTechCarl, or email carl@voicetechpodcast.com.


Below is a list of other companies that were profiled in this post, along with VoiceSense:

To view the original article, please click here [2].