TU Berlin

Quality and Usability LabJulia Seebode

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Julia Seebode


Research Field


Research Topics

• Emotional System Feedback
• Usability Evaluation Methods
• eMobility and Mobility Concepts


Julia Seebode studied Science of Communication and Physics at Berlin Institute of Technology and received her magister degree in 2009. She was holder of a research science scholarship in the post graduate program prometei (www.prometei.de) from 2009 until 2013 working towards her PhD thesis in the domain of feedback for mobile devices. At the moment she is working on new concepts for emobility in the project "emma - e-mobil mit anschschuss (BodenseEmobil)".


Clustering Audio Clips by Context-Free Descriptions and Affective Ratings
Zitatschlüssel sundaram2010c
Autor Sundaram, Shiva and Schleicher, Robert and Seebode, Julia
Buchtitel European Signal Processing Conference (EUSIPCO)
Jahr 2010
Zusammenfassung n the absence of context, the process of listening to acoustic scenes results in deriving an explicit semantic description and an implicit assessment of its acoustic properties in terms of its affective value. In this work, we mainly exploit the relationship between context-free associations of audio clips containing unconstrained acoustic sources with their affective values for clustering. Using over two hundred clips from the BBC sound effects library, we present a novel, quantitative method to compare the clusters of audio clips obtained using its context-free description with the clusters obtained from their affective measures; namely valence, arousal and dominance. Our results indicate that comparing clusters across representations is a suitable approach to determine an appropriate number of clusters to index audio clips in an unsupervised manner. In this paper we present our findings and examples of the resulting clusters of audio clips.
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