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.
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?
- WordPress to Alexa – Christian Petroske, ShoutWorks – Voice Tech Podcast ep.08030th November 2020 - 14:49
- Alexa Skill Numbers – Simon Landry, Voice Market Data – Voice Tech Podcast ep.0792nd November 2020 - 13:09
- Podcast Tips, Tools and Voice – Carl Robinson, Rumble Studio – Voice Tech Podcast ep.07812th October 2020 - 12:37
- Voice X Design Sprint – Maaike Coppens – Voice Tech Podcast ep.07728th September 2020 - 10:11