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Dept. of Computer Sc. » Pattern Recognition » Our Team » Steidl, Stefan » FAU Aibo Emotion Corpus

PD Dr.-Ing. habil. Stefan Steidl

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Applying mathematically founded machine learning and pattern recognition techniques to fascinating interdisciplinary research areas: from medical image segmentation to computer-assisted diagnosis and therapy control for pathological speech to vocal emotion recognition for human-machine interaction.

FAU Aibo Emotion Corpus

Spontaneous, emotionally colored speech of children interacting with Sony's pet robot Aibo

The corpus consists of 9 hours of German speech of 51 children at the age 10-13 years interacting with Sony's pet robot Aibo.

Spontaneous, emotionally colored children's speech has been recorded via a close-talk microphone.

The audio recordings of the children have been segmented manually into small, syntactically meaningful 'chunks' using syntactic-prosodic criteria.

The data is annotated with 11 emotion categories by five human labelers on the word level.

The corpus consists of:

audio files (wav format, mono, 16bit, 16kHz) for the chunks,
German transliteration of the audio data,
corresponding German lexicon of all transcribed words,
information about the gender and the age of the children,
original emotion labels of the five human labelers for each word, and
one emotion label for the whole chunk.

For a detailed description of the FAU Aibo Emotion Corpus, please download my PhD thesis.



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Department of Computer Science 5 Our Team Steidl, Stefan Projects Lectures Publications Google Scholar Profile My PhD Thesis Materials Theses FAU Aibo Emotion Corpus Curriculum Vitae Python Classification Toolbox Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstr. 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Steidl, Stefan » FAU Aibo Emotion Corpus PD Dr.-Ing. habil. Stefan Steidl Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Applying mathematically founded machine learning and pattern recognition techniques to fascinating interdisciplinary research areas: from medical image segmentation to computer-assisted diagnosis and therapy control for pathological speech to vocal emotion recognition for human-machine interaction. FAU Aibo Emotion Corpus Spontaneous, emotionally colored speech of children interacting with Sony's pet robot Aibo The corpus consists of 9 hours of German speech of 51 children at the age 10-13 years interacting with Sony's pet robot Aibo. Spontaneous, emotionally colored children's speech has been recorded via a close-talk microphone. The audio recordings of the children have been segmented manually into small, syntactically meaningful 'chunks' using syntactic-prosodic criteria. The data is annotated with 11 emotion categories by five human labelers on the word level. The corpus consists of: audio files (wav format, mono, 16bit, 16kHz) for the chunks, German transliteration of the audio data, corresponding German lexicon of all transcribed words, information about the gender and the age of the children, original emotion labels of the five human labelers for each word, and one emotion label for the whole chunk. For a detailed description of the FAU Aibo Emotion Corpus, please download my PhD thesis.