Artificial Emotional Intelligence is a relatively new field, but one in which there is tremendous activity. Supported by a plethora of new open-source tools and machine learning frameworks, a programmer can now build a first prototype of an emotion-aware dialog machine in about two working days. But how good is the technology? And how can we develop better emotion AI?
This blog post is a roundup of voice emotion analytics companies. 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.
- Voice Search for eCommerce – Mike Page, Phebi Inc – Voice Tech Podcast ep.04214th October 2019 - 22:11
- Airbnb Hospitality by Voice – Petar Ojdrovic, Home Service – Voice Tech Podcast ep.0418th October 2019 - 11:16
- Surveys by Voice – Stuart Crane, SurveyLine – Voice Tech Podcast ep.04030th September 2019 - 23:25
- High-tech Interpreters – Jonathan Rechtman, Cadence Translate – Voice Tech Podcast ep.03923rd September 2019 - 21:19