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.
- Open Source NLU – Alan Nichol, Rasa – Voice Tech Podcast ep.0734th August 2020 - 10:07
- Text-to-Speech Wizardry – Niclas Bergstrom, ReadSpeaker – Voice Tech Podcast ep.07220th July 2020 - 15:36
- Someone to Practice With – Elie Dordek, ShanenLi – Voice Tech Botcast ep.07113th July 2020 - 13:56
- Conversational Components – Yaki Dunietz, CoCo – Voice Tech Podcast ep.0706th July 2020 - 09:27