Juliane Höbel-Müller
M.Sc. Juliane Höbel-Müller
AG Data & Knowledge Engineering
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:
- Joint project Mittelstand-Digital Centre Magdeburg, sub-project IT strategy and security, staff member in the field of Artificial Intelligence & Machine Learning (08/2022 - 07/2025)
Previous Projects:
- Joint project Mittelstand 4.0 Competence Centre Magdeburg, sub-project safety and security in the digitalisation of SMEs, staff member in the field of Artificial Intelligence & Machine Learning (01/2020 - 07/2022)
- Joint project MOVA3D (in 3Dsensation) Multimodal Omnidirectional 3D Sensor for Human Behavior Analysis (10/2016 - 12/2019)
2023
Book chapter
Acoustic inter- and intra-room similarity based on room acoustic parameters
Treybig, Lukas; Höbel-Müller, Juliane; Werner, Stephan; 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: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021, insges. 8 S. [Konferenz: SIGIR Workshop: Causality in Search and Recommendation '21, online, July 2021]
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) [Konferenz: 31. Konferenz "Elektronische Sprachsignalverarbeitung", Magdeburg, 4.-6. März 2020]
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 [Konferenz: DAGA 2020, Hannover, 16.-19. März 2020]
I am happy to supervise work by students who are interested in a scientific and respectful exchange.
List of successful completed student theses that I have supervised:
Winter Term 2023/ 2024
Mauricio Soltmann - Anomaly detection in data from an automatic vehicle location system.
Bachelor thesis (in collaboration with NASA GmbH).
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.