The VoiceSense emotion and personality analytic engines have many potential uses, all enhancing the quality of interpersonal communication as well as man-machine interaction.
Some uses focus on better understanding a communication partner. Finance and insurance predictive analytics tuned to personalized risk assessment is one example. Personalized customer care, tuned to the customer’s state of mind is another example. Objective and automatic job match evaluation of job candidates is another example.
Other uses focus on improving man-machine interactions. For example, personal assistants that are tailored to users emotions and personality.
Yet other uses focus on enhancing user awareness. Health, life style and self-coaching applications that provide users with valuable feedback on how they sound are examples for such uses.
The many use-cases supported by VoiceSense can be categorized into five main markets/solutions:
All VoiceSense solutions are language and culture universal, and completely content independent.
The solutions can provide real-time as well as offline analysis. They can use local, mobile or cloud environments.