Juliane Höbel-Müller

M.Sc. Juliane Höbel-Müller

Otto von Guericke University Magdeburg
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, G29-002
Research

Research Areas:

  • Machine Learning
  • Speech Emotion Recognition

Knowledge and Application Experience:

  •     Human-Machine Interaction, User Behavior Modeling and Voice Analysis
  •     Computer Visualistics, Medical Image Processing and Digital Signal Processing
  •     Room Acoustics Analysis and Robotics

Current Project:

Previous Projects:

Publications

2023

Book chapter

Acoustic inter- and intra-room similarity based on room acoustic parameters

Treybig, Lukas; Höbel-Müller, Juliane; Werner, Stephanie; Nürnberger, Andreas

In: Engineering for a changing world - Ilmenau : ilmedia ; Sattler, Kai-Uwe *1968-* . - 2023, S. 1-15, Artikel 5.2.136

Article in conference proceedings

Approach for exploring a search map through audible landmarks in Virtual Reality

Klein, Florian; Höbel-Müller, Juliane; Polley, Sayantan; Werner, Stephan; Nürnberger, Andreas

In: DAGA 2023 - Berlin : Deutsche Gesellschaft für Akustik e.V., S. 1617-1619, ISBN: 978-3-939296-21-8

2021

Article in conference proceedings

ExDocS - evidence based explainable document search

Polley, Sayantan; Janki, Atin; Thiel, Marcus; Hoebel-Mueller, Juliane; Nürnberger, Andreas

In: Konferenz: SIGIR Workshop: Causality in Search and Recommendation '21, online, July 2021, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021, insges. 8 S.

2020

Book chapter

Filtering-based analysis of spectral and temporal effects of room modes on low-level descriptors of emotionally coloured speech

Gottschalk, Martin; Höbel-Müller, Juliane; Siegert, Ingo; Verhey, Jesko L.; Wendemuth, Andreas

In: Elektronische Sprachsignalverarbeitung 2020 - Tagungsband der 31. Konferenz Magdeburg : Magdeburg, 4.-6. März 2020 / Konferenz "Elektronische Sprachsignalverarbeitung" , 2020 - Dresden : TUDpress ; Wendemuth, Andreas, S. 219-226 - (Studientexte zur Sprachkommunikation; 95)

Book chapter

Investigation of the influence of standing waves on distant speech emotion recognition

Höbel-Müller, Juliane; Siegert, Ingo; Gottschalk, Martin; Heinemann, Ralph; Wendemuth, Andreas

In: Fortschritte der Akustik - DAGA 2020 - Berlin : Deutsche Gesellschaft für Akustik e.V. (DEGA), S. 822-825

Mittelstand-Digital

The Mittelstand-Digital Zentrum Magdeburg is part of the Mittelstand-Digital funding initiative. With the Mittelstand-Digital network, the Federal Ministry for Economic Affairs and Climate Protection supports digitization in small and medium-sized enterprises and the craft sector. With the SME Digital Centres and the IT Security in Business Initiative, the SME Digital Network offers comprehensive support for digitalization. Small and medium-sized enterprises benefit from concrete practical examples and tailor-made, provider-neutral offers for qualification and IT security. The Federal Ministry for Economic Affairs and Climate Protection makes it possible to use the Mittelstand-Digital services free of charge. Further information can be found at www.mittelstand-digital.de.

Student Qualification Work

I am happy to supervise work by students who are interested in a scientific and respectful exchange. Currently, I am supervising the following student qualification work:

Winter Term 2023/ 2024

Mauricio Soltmann - Anomaly detection in data from an automatic vehicle location system.
Bachelor thesis (in collaboration with NASA GmbH).

Leon Schaper - Investigation of chatbot-supported palliative care management.
Bachelor thesis (in collaboration with StatConsult GmbH).

I have supervised the following completed student qualification work:

Summer Term 2023

Manali Mahadeo Thakur - Call Volume Forecasting: Clustering-Based Regression With Prior Knowledge.
Master thesis.

Kilian Pößel - Collision Avoidance Control of An Overhead Crane: Indoor Person Detection in Top-View RGB-D Images.
Master thesis (in collaboration with Polarith GmbH).

Winter Term 2022/ 2023

Jonas Rössler - A Literature Study and Qualitative Survey about the Use of Chatbots in the Workplace in SMEs.
Bachelor thesis (in collaboration with LOOMA GmbH).

Rabi Kumar K C - Feature Extraction and Selection in Imbalanced Electrocardiogram Data for Fear and Sadness Classification.
Master thesis.

Summer Term 2022

Nepomuk Markarian - Analysis of the Influence of Emotion Intensity on Bimodal Fear and Sadness Classification Models Using Electrocardiogram and Electrodermal Signals.
Bachelor thesis.

Ankit Mukherjee - Data Preparation, Analysis and Initial Model Evaluation: Anomaly Detection in Audio Data Streams during Wire-Arc Additive Manufacturing.
Internship at Siemens.

Last Modification: 26.01.2024 - Contact Person: