Voice Emotion Analytics — Florian Eyben, audEERING — Voice Tech Podcast ep.014
Episode description
Florian Eyben is the CTO of audEERING, an audio analysis company that specialises in emotional artificial intelligence. Florian is a leading expert in voice emotion analytics, machine learning and signal processing, and our conversation is a great introduction to harnessing emotion in the voice. We discuss many of the incredible applications of voice emotion analytics, and dive into some projects carried out by audEERING for major brands in market research, call centers, social robotics, health and many more.
In the second half of the episode we explore openSMILE, audEERING’s open source research toolkit for audio feature extraction. It is currently the state-of-the-art in affective computing for audio, and is the most widely-used tool for emotion recognition tasks in research and industry.
We also discuss the GeMAPS standard acoustic parameter recommendation, emotional dimensions such as valence and arousal, what data to use when developing emotion detection algorithms, and the future of multimodal emotion-enabled interfaces. It’s an emotion-filled episode that you won’t want to miss!
Links from the show:
Full show notes: https://voicetechpodcast.com
Alexa skill building guide: https://voicetechpodcast.com/skillguide
audEERING site: https://www.audeering.com
audEERING on Facebook: http://bit.ly/aud-facebook
audEERING on Twitter: @audEERING
audEERING on Instagram: audEERING
audEERING on LinkedIn: http://bit.ly/aud-linkedin
openSMILE: https://opensmile.audeering.com
GeMAPS: https://ieeexplore.ieee.org/document/7160715
Florian Eyben Google Scholar: http://bit.ly/florian-eyben-scholar
ICASSP 2019: https://2019.ieeeicassp.org/
VoiceBot podcast: http://voicebot.ai
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