Completed Theses
Completed Bachelor Theses
- Marvin Mielchen: Bridging Particle Filtering and Machine Learning for Online DOA Tracking in Multichannel Speech Enhancement, Apr 2025
- Duru Zeynep Keçeci: Speech Emotion and Style Conversion Using Categorical Emotions with EARS DATASET, Mar 2025
- Akram Ahmed Ammar: Semantically Factorized Latent Space for Speech Enhancement, Jan 2025
- Rebecca Schnoor: Computation of Vocal Synchrony in Spontaneous Interaction using Deep Neural Networks, Jan 2025
- Deepesha Saurty: Improving Emotional Accuracy in Speech Synthesis through Arousal and Valence Manipulation, Jan 2025
- Kevin Luu: Informed speaker extraction using deep multichannel filtering, Jan 2025
- Leonie Junkher: Discrete vs Continuous Latent Diffusion Models for Speech Enhancement, Jan 2025
- Till Svajda: Vocal Dereverberation with Diffusion-Based Generative Models, Jan 2025
- Jonas Rochdi: Real-Time Speech Enhancement Using Mamba, Dez 2024
- Constantin Alexander Auga: Latent Diffusion Models for Emotion-Conditioned Speech Synthesis, Nov 2024
- Gerrit Schwitalla: Investigating the Effect of Filtering In-the-wild Datasets for Deep Learning-based Speech Enhancement, Nov 2024
- Marten Linge: Study of positional encoding approaches for speech enhancement, Nov 2024
- Helena Becker: "Speech Enhancement with Diffusion Models using Vision Transformers", August 2024
- Maris Hillemann: “Fractional Fourier Transform in Transformer-based Speech Enhancement”, Universität Hamburg, Juni 2024
- Sebastian Zaczek: “Recent Advances in Single-Channel Speech Separation of Same-Gender Speaker Mixtures”, Universität Hamburg, Mai 2024
- Tom Schimansky: "“Music Source Separation using Score-Based Generative Models”, Universität Hamburg, Mai 2024
- Alieksieiev Oleksil: "Implementation and Analysis of a Real-time End-to-End Audio-visual Speech Enhancement Framework", Feb 2024
- Robin Breitgelder: "Lokalisierung von beweglichen Schallquellen mit tiefen neuronalen Netzen", Universität Hamburg, Okt. 2023
- Johannes Kolhoff: "Real-Time Phase Retrieval for Speech using Improved iterative algorithms", Universität Hamburg, Juni 2023
- Katirci Berkkan: "Robust preprocessing for real-time audio-visual speech separation", Universität Hamburg, April 2023
- David Tran: "Comparitive Analysis of Multi-Stage Speech Enhancement Methods", Universität Hamburg, April 2023
- Torben Hellriegel: "Evaluation of Speaker Recognition Neural Networks", Universität Hamburg, Nov. 2022
- Nico Petereit: "Implementation eines Phase Vocoder zur Echtzeit-Anwendung im musikalichen Kontext.", Universität Hamburg, Aug. 2022
- Chams Alassil Khoury: "Evaluation eines neuronalen Netzes für die mehrkanalige Sprachverbesserung", Universität Hamburg, Oct. 2021
- Hannes Neuschmidt: "Phase-Aware Speech Enhancement with Neural Networks", Universität Hamburg, May 2021
- Viktor Skiba: "Aktuelle Methoden zur Quellentrennung von Musik im Kontext der Signal Separation Evaluation Campaign", Universität Hamburg, Apr. 2020
- Theodor Wulff: "Classification of Background Noise in Movie Sound", Universität Hamburg, Apr. 2020
- Mihai-Ali Popa: "Deep Learning Methods for Score-to-Audio Music Generation", Universität Hamburg, Nov. 2019
- Stephanie Bramlage: "Acoustic Emotion Recognition in Group Discussions with Neural Networks", Universität Hamburg, Jul. 2019
- Nils-Hendrik Mohrmann: "Reduzierung des Eigengeräusches für eine robuste automatische Spracherkennung mit Robotern", Universität Hamburg, Jun. 2019
- Yannik Höfgen: "Analysis of Machine Learning Supported Acoustic Beamforming", Universität Hamburg, Feb. 2019
- Walther Stieben: "Echtzeit Beamforming auf einem eingebetteten System - Implementierung und Analyse", Universität Hamburg, Dec. 2018
- Leroy Bartel: "Machine Learning Based Phase Estimation for Speech Enhancement", Universität Hamburg, Nov. 2018
- Thomas Walther: "Multi-channel speech command recognition for humanoid robots", Universität Hamburg, Sep. 2018
- Nils Matze Heine: "Real-Time Automatic Gain Control für Singing Voice Applications", Universität Hamburg, May 2018
Completed Master Theses
- Alexander Schiessl: Complex-Valued Deep Neural Networks for Speech Enhancement, Apr 2025
- Haruka Inoba: Compensation for Imbalanced In-the-wild Emotional Speech Dataset for Emotional Speech Synthesis, Jan 2025
- Marlon Kramer: "Cross-modal random network-based fusion for audio-visual continuous emotion recognition", Universität Hamburg, Juni 2024
- Diana Rueda: "Modeling paralinguistic mimicry for emotion recognition in social interactions using attention", Universität Hamburg, Sept. 2023
- Roland Fredenhagen: "Sound Source Localization using the Azre Kinect's Microphone Array on a Robot", Universität Hamburg, Juli 2023
- David Zadim: "Incorporating Model Uncertainties in Deep Iterative Projections for Ptychography", Universität Hamburg, Juli 2023
- Julian Rettelbach: "Complex logarithm input features for phase-aware deep speech", Universität Hamburg, Juni 2023
- Walter Stieben: "Single-Channel Speech Enhancement with Graph-Convolutional Neural Networks", Universität Hamburg, Mai 2023
- Jan Zickermann: "Multi-Channel Speech Enhancement with Multi-Stage Deep Neural Networks", Universität Hamburg, Jan. 2023
- Niklas Wittmer: "Multichanel Joint Reduction of Ego-Noise and Environmental Noise with Variational Autoencoders and Non-Negative Matrix Factorization", Universität Hamburg, Nov. 2022
- Julian Tobergte: "Statistically Motiated Multi-frame Extension for Neural Network-based Single-channel Speech Dereverberation", Universität Hamburg, Nov. 2022
- Paul Hoelzen: "On self-supervised audio-visual deep learning approaches for sound spatialization", Universität Hamburg, August 2022
- Tanja Flemming: "Representation Learning for Sound Source Localization", Universität Hamburg, June 2022
- Stephanie Brramlage: "Fatigue Prediction for Offshore Wind Turbine Support Structures With the help of Neural Networks and SCADA Data Signal Processing", Universität Hamburg, Apr. 2022
- Simon Welker: "Deep Neural Networks for Phase Retrieval in Diffractive Imaging and Speech Processing", Universität Hamburg, Dec. 2021
- Nils-Hendrik Mohrmann: "Comparative Study of Deep Neural Networks for Multichannel Speech Enhancement", Universität Hamburg, Nov. 2021
- Jeanine Liebold: "Audio-Visual Phoneme Recognition with Deep Neural Networks", Universität Hamburg, Nov. 2021
- Jose Alberto Rodriguez Parra Flores: "Multiframe TasNet for Single Channel Speech Enhancement", Universität Hamburg, Apr. 2021
- Leroy Bartel: "Deep Learning based Speaker Count Estimation for Single-Channel Speech Separation", Universität Hamburg, Mar. 2021
- Marc Siemering: "Real-Time Speech Separation with Deep Attractor Networks on an Embedded System", Universität Hamburg, Nov. 2020
- Klaus-Johan Ziegert: "Phasenrekonstruktion Transienter Sprache", Universität Hamburg, Nov. 2020
- Kristina Tesch: "On the Role of Non-Linear Filtering in Multichannel Speech Enhancement", Universität Hamburg, Mar. 2019
- Praveen Baburao Kulkarni: "Deep Learning Techniques for Side Channel Analysis", Universität Hamburg, Aug. 2018
- Konstantin Kobs: "Voice Conversion Using Modern Machine Learning Techniques", Universität Hamburg, Nov. 2017