Technology and Sentient Beings... Demo
Vocal Characteristics
Language
EnglishVoice Age
Middle Aged (35-54)Accents
North American (General)Transcript
Note: Transcripts are generated using speech recognition software and may contain errors.
technology is at a tipping point. We are on the verge of creating emotionally sentiment systems from applications and healthcare and education to self driving cars and voice controlled digital assistants. How do we get there? And what are the ethical implications? Join us as we sit down with Daniel Macduff to discuss emotionally sentiment agents and effective computer. There are many design aspects and challenges to creating an emotionally sentiment system. Researchers need to build machine learning algorithms that can turn facial expression or voice tone into emotional labels. Then there's the question of how to synthesise responses that are emotionally appropriate. But recent technological advancements in both machine learning and connectivity of the Internet have allowed researchers to obtain much greater amounts of data and measure the data more accurately.