Emotion Detection from Speech – Thesis successfully defended
The Bachelor Thesis deals with research in the field of emotion recognition mainly from speech and marginally from other modalities (video and physiological data).
Meet us @LDK 2017
LDK is the new biennial conference series on Language, Data and Knowledge. The conference aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications.
Paul Buitelaar, coordinator the from MixedEmotions project will be present.
Meet us there and follow us on Twitter @mixed_eu or @unlp_insight
MixedEmotions sponsors LDK.
The project MixedEmotions proposes to follow a linked data approach for publishing emotions. What does this mean?
Interactive Business Webinar about the MixedEmotions Platform
When is the next webinar? We are happy to welcome you at June 30th at 12h CEST. Just access http://joingotomeeting.com, and enter meeting id 248-510-485
MixedEmotions brings emotion analysis to your business. We are developing an open source platform for the automatic detection of emotions in speech, audio, video, text and social media data – in multiple languages and with preservation of the semantic context of expressed emotions.
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Can you imagine your alarm clock knew if you slept badly and chose your favorite song to raise your spirits? Or that your TV chose for you that movie you needed today to make you smile? Or that your car suggests you to stop to grab a cup of coffee?
These premises, which until now were part of science fiction cinema, from classics like Blade Runner to more current hits like Her, may be closer to reality. Thanks to the convergence of technologies of analysis of emotions, Big Data, and Internet of Things (IoT). Both are being researched in the European project MixedEmotions.
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