Ronald Müller (Bachelorarbeit, TUM, 10/2002): Erkennung des psychologischen Sprecherzustands aus prosodischen Merkmalen
Martin Wieser (Bachelorarbeit, TUM, 09/2003): Emotionserkennung in der haptischen Interaktion mittels Support Vector Machines
Marc Kirsch (Bachelorarbeit, TUM, 10/2003): Usability-Untersuchungen zur natürlichsprachlichen Bedienung von Infotainmentfunktionen im Fahrzeug
Elmar Sommer (Bachelorarbeit, TUM, 11/2003): Verfahren und Merkmale zur inhaltsbasierten Musiksuche
Moritz Dausinger (Bachelorarbeit, TUM, 11/2006): Automatische Erkennung musikalischer Progressionen in polyphonem Audiomaterial (Automatic Chord Labeling in Original Audio Recordings)
Florian Eyben (Studienarbeit, TUM, 12/2006): High Level Rhythmic Audio Features For Robust Music Information Retrieval
Benedikt Gollan (Bachelorarbeit, TUM, 10/2007): Musical Features for Recognition of Key in Real Audio (Musikalische Merkmale zur datengetriebenen Tonarterkennung in Originalaufnahmen)
Xiaohua Zhang (Studienarbeit, TUM, 01/2008): Prosodic and Spectral Features in Segment-based Acoustic Modeling (Prosodische und spektrale Merkmale zur segmentbasierten Akustischen Modellierung)
Ugur Özcan (Studienarbeit, TUM, 01/2008): Stressdetektion im Fahrzeug anhand akustischer Parameter (Detection of Driver’s Stress based on Acoustic Parameters)
Kayssar Chaabane (Studienarbeit, TUM, 06/2008): A Comparison of Spectral and Prosodic Features in Segment-based Phoneme Recognition (Vergleich cepstraler und prosodischer Merkmale in der segment-basierten Phonemerkennung)
Chi He (Studienarbeit, TUM, 06/2008): Datenbankübergreifende Erkennung von Emotion aus akustischen Parametern (Cross-Database Acoustic Emotion Recognition)
Haitao Liu (Studienarbeit, TUM, 06/2008): Boosting Frame-Level Accuracy for Phoneme Recognition
Jian Li (Studienarbeit, TUM, 10/2008): Einfluss des Sprechstils auf die Automatische Spracherkennung (On the Impact of Speaking Style on Automatic Speech Recognition )
Clemens Hage (Bachelorarbeit, TUM, 10/2008): Automatic Musical Mood Recognition from Original Recordings by Musical Features (Automatische Erkennung Musikalischer Stimmung in Originalaufnahmen mittels musikalischer Merkmale)
Johannes Dorfner (Bachelorarbeit, TUM, 10/2008): Automatic Music Mood Classification from Lyrics and Musical Features in large Archives (Automatische Klassifikation Musikalischer Stimmung mittels Textanalyse und musikalischer Merkmale in großen Archiven)
Jürgen Glatz (Bachelorarbeit, TUM, 02/2009): Emotional Factors in Speech-based Surgeon-Robot Interaction
Christoph Kozielski (Bachelorarbeit, TUM, 08/2009): Artist Gender Recognition in Popular Music by Non-Negative Matrix Factorization
Judith Köppe (external Bachelorarbeit with Hochschule Lübeck 09/2009): Speech-based Emotion Recognition in Real-Life Conditions
Felix Friedmann (Bachelorarbeit, TUM, 06/2011): Recognition of Physiological Parameters in the Human Voice
Sebastian Stanislaw Wozny (Bachelorarbeit, TUM, 07/2013): Voice separation in Hip-Hop music
Elzbieta Siwy (Individual Project BEng JMC, Imperial College London, 12/2014): Multitask-Learning with Partially Unknown Labels for Rich Speaker Characterisation
Bayrak Ferhat (Bachelor’s Thesis, University of Passau, 02/2016): Gamification concepts and the influence on crowdsourcing-based annotation tools
Tobias Kirschstein (Bachelor’s Thesis, University of Passau, 06/2016): Adieu features? Learning appropriate data representations with Convolutional Neural Networks for multimodal emotion recognition
Sergey Pugachevskiy (Bachelor’s Thesis, University of Passau, 05/2017): Rich Database Generation based on Small-World Modelling of Social Media
Maurice Gerczuk (Bachelor’s Thesis, University of Passau, 05/2017): Data-driven Approaches to Harness Rich Social Media Resources for Emotion Recognition
Sandra Ottl (Bachelor’s Thesis, University of Passau, 05/2017): Towards Big Data Multimodal Feature Fusion for Sentiment Analysis
Lorenz Wendlinger (Bachelor’s Thesis, University of Passau, 05/2017): Emotion Recognition in Speech Using Vocal Landmarks
Tobias Geib (Bachelor’s Thesis, University of Passau, 08/2017): Automatic Guitar String Detection by String-Inverse Frequency Estimation
Alexander Abstreiter (Bachelor’s Thesis, University of Passau, 08/2017): Intelligent user trustability-based solutions for crowdsourced audio annotation
Jonas Hunklinger (Bachelor’s Thesis, University of Passau, 09/2017): More Dimensional Cellular Automata for Audio Scrambling
Christoph Stemp (Bachelor’s Thesis, University of Passau, 09/2017): Implementing User Trustability-based Quality Mechanisms in a Crowdsourcing Environment
Tobias Olenyi (Bachelor’s Thesis, University of Passau, 08/2017): Classifiying Voice Likability with Instruments of Machine Learning
Denis Zwierz (Bachelor’s Thesis, University of Passau, 06/2016): Expanding a gamified crowdsourcing platform for data annotation with competetive gameplay instruments
Tobias Susetzky (Bachelor’s Thesis, University of Passau, 09/2018): Neural network applications for algorithmic trading
Thorben Voss (Bachelor’s Thesis, University of Passau, 09/2018): Ereignisdetektion mittels tiefer neuronaler Netze im Kontext eines Smart Homes
Lea Schumann (Bachelor’s Thesis, University of Augsburg, 06/2018): Generative Adversarial Networks for Medical Applications
Maximilian Zangl (Bachelor’s Thesis, University of Augsburg, 06/2018): Audio Based Emotional Synthesis, utilising Generative Adversarial Networks
Alexander Gebhard (Bachelor’s Thesis, University of Augsburg, 06/2018): Deep Convolutional Neural Networks for Audio Analysis
Niklas Schröter (Bachelor’s Thesis, University of Augsburg, 06/2018): Automated Depression Diagnosis based on Deep Reccurent Neural Netwroks and (Deep) Facial Features
Dariia Grishina (Bachelor’s Thesis, University of Passau, 07/2018): Crowdsourcing-based speech data collection
Benjamin Sertolli (Bachelor’s Thesis, University of Augsburg, 07/2018):
Deep End-to-End Representation learning from Automatic Speech Recognition Networks for Computational Paralinguistics
Lukas Koebe (Bachelor’s Thesis, University of Augsburg, 08/2018): Designing Recurrent Cells with Efficient Neural Architecture Search
Maximilian Ammann (Bachelor’s Thesis, University of Augsburg, 07/2019): Speech Separation using Deep Clustering
Moritz Hanneman (Bachelor’s Thesis, University of Augsburg, 07/2018): Optical flow features for visual based pain recognition
Stephan Wolf (Bachelor’s Thesis, University of Augsburg, 11/2018): Soccer Player Rating / Entwicklung eines Bewertungssystems für Fußballspieler
Merlin Albes (Bachelor’s Thesis, University of Augsburg, 07/2019):
Low Resource Neural Networks for Healthcare Applications
Michelle Lienhart (Bachelor’s Thesis, University of Augsburg, 07/2019): Automated Cell Detection
Pawel Winokurow (Bachelor’s Thesis, University of Augsburg, 07/2019): Sequence to Sequence Autoencoders with Attention Mechanism for Continous Sleepiness recognition
Daniel Mittereder (Bachelor’s Thesis, University of Augsburg, 09/2019): Data Augmentation with Generative Adversarial Networks for Rare Medical Data
Mario Semmler (Bachelor’s Thesis, University of Augsburg, 07/2019): CNN-based Pollen classification