{"id":150,"date":"2015-12-07T01:06:56","date_gmt":"2015-12-07T01:06:56","guid":{"rendered":"http:\/\/www.schuller.it\/bws\/?page_id=150"},"modified":"2026-03-23T01:00:42","modified_gmt":"2026-03-23T01:00:42","slug":"supervised-masters-theses","status":"publish","type":"page","link":"http:\/\/www.schuller.it\/bws\/?page_id=150","title":{"rendered":"Supervised Master’s Theses"},"content":{"rendered":"
    \n
  1. Gunter Spahn (Diplomarbeit, TUM, 12\/2000): Nat\u00fcrlichsprachliche Navigation in virtuellen Welten<\/li>\n
  2. Stephan Reiter (Diplomarbeit, TUM, 06\/2002): Automatische Emotionserkennung aus der sprachlichen und ber\u00fchrsensitiven Interaktion<\/li>\n
  3. Ting-Yap Tong (Diplomarbeit, TUM, 02\/2003): Music Retrieval by probabilistic contextual integration of hummed, written, and spoken query<\/li>\n
  4. Florian H\u00f6rger (Diplomarbeit, TUM, 09\/2003): Evaluierung von Merkmalen und Klassifikationsans\u00e4tzen in der akustischen Emotionserkennung<\/li>\n
  5. Juan Wang (Diplomarbeit, TUM, 12\/2003): Usability based design of a multimodal Music Information Retrieval interface<\/li>\n
  6. Ronald M\u00fcller (Diplomarbeit, TUM, 12\/2003): Einsatz Bayes’scher Netze zur Interpretation von Benutzeraktionen<\/li>\n
  7. Martin Hadersdorfer (external Diplomarbeit with BMW AG, TUM, 04\/2004): Entwicklung eines Benutzermodells zur adaptiven Parametrisierung von ACC<\/li>\n
  8. Yuping Shi (Diplomarbeit, TUM, 09\/2004): Automatische Melodieerkennung in polyphonen Audiodateien<\/li>\n
  9. Raquel Jim\u00e9nez Villar (Diplomarbeit, TUM, 09\/2004): Speech Emotion Recognition Combining Acoustic Features and Language Information<\/li>\n
  10. Thomas Mikschl (Diplomarbeit, TUM, 07\/2006): Funktionalbasierte Zeitreihenanalyse in der audiovisuellen Mustererkennung<\/li>\n
  11. Ricardo Minguez (Diplomarbeit, TUM, 07\/2007): Feature Space Optimization for Paralinguistic Speech Analysis Tasks<\/li>\n
  12. Naijiang Lu (Diplomarbeit, TUM, 09\/2007): Speaker and Noise Adaptation in Acoustic Emotion Recognition (Sprecher- und St\u00f6rger\u00e4uschadaption in akustischer Emotionserkennung)<\/li>\n
  13. Florian Dibiasi (Diplomarbeit, TUM, 09\/2007): Audiothumbnailing unter Verwendung von Harmonie- und Rhythmusinformation (Audiothumbnailing incorporating Harmony- and Rhythmstructure)<\/li>\n
  14. Hermann Anton Karl (Diplomarbeit, TUM, 11\/2007): Anwendung von Sprachmodellen in der musikalischen Progressionserkennung (Language Modeling in the Recognition of Musical Chord Progressions)<\/li>\n
  15. Jin Yao (Master Thesis, TUM, 02\/2008): Speech-based Emotion Recognition in Medical Operations (Sprachbasierte Emotionserkennung in Medizinischen Operationen)<\/li>\n
  16. Martin W\u00f6llmer (Diplomarbeit, TUM, 02\/2008): Speech Enhancement and Switching Models for Noise Robust Speech Recognition (Speech Enhancement und Switching Models zur st\u00f6rrobusten Spracherkennung)<\/li>\n
  17. Florian Eyben (Diplomarbeit, TUM, 02\/2008): Detection of Non-Verbals and Disfluencies in Conversational Speech (Erkennung von Nonverbalen Ereignissen und Hesitationen in nat\u00fcrlichsprachlichen Dialogen)<\/li>\n
  18. Yuan Ma (Diplomarbeit, TUM, 03\/2008): Robust Emotion Recognition from Reverberated Speech<\/li>\n
  19. Josef Zwack (Master Thesis, TUM, 04\/2008): Semantic and Contextual Analysis for the Recognition of Affect in Spontaneous Speech (Semantische und kontextuelle Analyse f\u00fcr die Erkennung von Affekt in Spontansprache)<\/li>\n
  20. Sebastian Kopp (Master Thesis, TUM, 04\/2008): Ground Truth Modeling in Automatic Interest Recognition from Speech<\/li>\n
  21. Xiaodi Wang (Master Thesis, TUM, 04\/2008): Boosted Performance in Acoustic Paralinguistics Recognition by Word Models and Locally Optimized Feature Spaces<\/li>\n
  22. Cong Hui (Diplomarbeit, TUM, 05\/2008): Multi-Instance Learning for Acoustic Frame-Level Modelling of Interest<\/li>\n
  23. Peter Grosche (Diplomarbeit, TUM, 05\/2008): Polyphonic Automatic Music Transcription based on Real Audio (Polyphone Automatische Transkription Originaler Musikaufnahmen)<\/li>\n
  24. Christoph Scheuermann (Diplomarbeit, TUM, 07\/2008): Noise-Robust Automatic Speech Recognition in Medical Operating Room Environments (St\u00f6rrobuste Spracherkennung im Operationssaal)<\/li>\n
  25. Tobias Knaup (Diplomarbeit, TUM, 02\/2009): Comparing Linguistic Analysis based on Online Knowledge Sources and Bags-of-N-Grams for Movie Review Valence Estimation<\/li>\n
  26. Fabian Heinemann (Diplomarbeit, TUM, 04\/2009): Automatic Chord Labelling in Original Recordings with Long Short-Term Memory Recurrent Neural Networks<\/li>\n
  27. Yang Sun (Diplomarbeit, TUM, 07\/2009): A Tandem BLSTM-DBN Architecture for Robust In-Car Spelling Recognition<\/li>\n
  28. Haroon Jacob (Diplomarbeit, TUM, 07\/2009): Linguistic Sentence Modality Recognition in Conversational Speech<\/li>\n
  29. Yunpeng Sun (Diplomarbeit, TUM, 09\/2009): Sentence Modality Recognition in Conversational Speech by Combined Acoustic and Linguistic Property Analysis (Erkennung des Satzyps in Gespr\u00e4chen an Hand akustischer und linguistischer Merkmale)<\/li>\n
  30. Felix Weninger (external Diplomarbeit with Informatik 12 TUM 11\/2009): Applications of Non-Negative Matrix Factorization in Speech Processing<\/li>\n
  31. Benedikt Gollan (Diplomarbeit, TUM, 12\/2009): An Audible Demonstrator for Music Information Retrieval Experiencing<\/li>\n
  32. Xiaohua Zhang (Diplomarbeit, TUM, 10\/2010): Alternative Features for Acoustic Modeling<\/li>\n
  33. Christian Landsiedel (external Master Thesis with KTH Stockholm, Sweden 10\/2010): Syllabification of Conversational Speech<\/li>\n
  34. Erik Marchi (external Master Thesis with Universit\u00e0 Politecnica delle Marche, Ancona, Italy, 01\/2011): Noise Robust Acoustic Modeling for Conversational Agents <\/li>\n
  35. Duc Bui Tran (Diplomarbeit, TUM, 12\/2012): Robustness of Interest and Intoxication Recognition in Prototype Systems<\/li>\n
  36. Johannes Bergmann (Master Thesis, TUM, 05\/2013): Implementation of Recurrent Neural Networks on Multi-Core Architectures<\/li>\n
  37. Giacomo Ferroni (Master Thesis with Universit\u00e0 Politecnica delle Marche, Ancona, Italy 09\/2013): Advanced Music Signal Processing for Onset Detection<\/li>\n
  38. Markus Maier (Diplomarbeit with the German Heart Center \/ Deutsches Herzzentrum, TUM, 08\/2013): Kinect integration into a biofeedback system for children under rehabilitation.<\/li>\n
  39. Bernd Huber (Master Thesis, TUM): Mobile Audio Sensing<\/li>\n
  40. Johanna B\u00f6hm (Master Thesis, University of Passau, 09\/2014): Automatic Recognition of Perceived Singing Quality<\/li>\n
  41. Marius Telespan (Undergraduate Individual Project, Imperial College London, 06\/2014): Audio Watermarking based on Empirical Mode Decomposition and Beat Detection<\/li>\n
  42. Jonathan Roitgrund (Undergraduate Individual Project, Imperial College London, 06\/2014): A combined ASR and VAD approach to long audio alignment in movies<\/li>\n
  43. Vincent Thiberville (MSc Individual Project, Imperial College London, 09\/2014): Musical Key Detection<\/li>\n
  44. Douglas Gray (MSc Individual Project, Imperial College London, 09\/2014): Transcription and instrument recognition of multi-instrumental music using NMF<\/li>\n
  45. Fabio Versperini(Master Thesis with Universit\u00e0 Politecnica delle Marche, Ancona, Italy): In-home Acoustic Event Detection by using LSTM and\/or DNN<\/li>\n
  46. Florian Gro\u00df (Master Thesis, TUM, 07\/2014): Driver Intention Prediction from Fleet Data<\/li>\n
  47. Nikhil George Jacob (external Master Thesis with Fraunhofer IIS Erlangen\/Germany): Optimization of Speech Coding Algorithms at Low Bit Rates<\/li>\n
  48. Vasileios Vryniotis (MSc Individual Project, Imperial College London, 09\/2014): Sentiment Analysis and the importance of Neutral Class<\/li>\n
  49. Prerna Arora (Master Thesis with University of Paderborn, TUM, 02\/2015): Multi-cultural Analysis of the Effect of Autism Spectrum Condition on Emotional Speech<\/li>\n
  50. Jiayun Ding (Individual Project MSc, Imperial College London, 02\/2015): A mobile app for detecting symptoms of depression from facial expressions and voice<\/li>\n
  51. Sixuan Yang (Individual Project MSc, Imperial College London, 02\/2015): Convolutional Neural Networks for Audio Analysis<\/li>\n
  52. Rob Brekelmans (Individual Project MSc, Imperial College London, 05\/2015): Classifying Emotion from Brain Activity using Machine Learning Methods<\/li>\n
  53. Andrea Michi (Individual Project MSc, Imperial College London, 11\/2015): Deep Learning Accents of L2 English Speakers for Corrective Feedback Presentation<\/li>\n
  54. Christian Nkinsi (Individual Project MSc, Imperial College London, 11\/2015): Convolutional Neural Networks for Audio Analysis<\/li>\n
  55. Max Rasmusen (Individual Project MSc, Imperial College London, 11\/2015): Convolutional Neural Networks for Audio Analysis<\/li>\n
  56. Sinduran Sivarajan (Individual Project MSc, Imperial College London, 11\/2015): Automatic animal sound classification and retrieval<\/li>\n
  57. Dharmesh Tailor (Individual JMC Project MSc, Imperial College London, 12\/2015): Dynamic Active Learning for Emotional Speech Recognition<\/li>\n
  58. Noppawee Apichonpongpan (Individual Project MSc, Imperial College London, 03\/2016): Machines Learning with Personality and Emotion<\/li>\n
  59. Chris Cheung (Individual Project MSc, Imperial College London, 03\/2016): Voice-to-Instrument Conversion<\/li>\n
  60. William McGehee (Individual Project MSc, Imperial College London, 03\/2016): Speaker Diarisation with Deep Neural Networks<\/li>\n
  61. Angharad Thomas (Individual Project MSc, Imperial College London, 03\/2016): Understanding music with deep learning<\/li>\n
  62. Katsushi Minamizono (Individual Project MSc, Imperial College London, 03\/2016): Development of a novelty detection method for audio data<\/li>\n
  63. Romain Sabath\u00e9 (Individual Project MSc, Imperial College London, 03\/2016): Music analysis using deep learning techniques<\/li>\n
  64. F\u00e9lix M\u00e9zi\u010dre (Individual Project MSc, Imperial College London, 03\/2016): Analysing and Generating electronic music with machine learning techniques<\/li>\n
  65. Yifan Liu (Individual Project MSc, Imperial College London, 03\/0216): Holistic Audio Analysis<\/li>\n
  66. Gerhard Hagerer (external Master’s Thesis with audEERING GmbH, TUM, 05\/2016): Integrierte Sprachaktivit\u00e4tserkennung und Sprecher\u00fcberlappungserkennung mit GPU beschleunigten Long Short-Term Memory Rekurrenten Neuronalen Netzen<\/li>\n
  67. Sebastian Scheffel (Master Thesis, University of Passau, 06\/2016): Recurrent and Convolutional Neural Networks for Drone Noise Detection and Elimination<\/li>\n
  68. Chan, Chun\u00a0(JMC Individual Project MSc, Imperial College London, 03\/0217): Deep Learning for Mobile Health: Depression Monitoring on the Smartphone<\/li>\n
  69. Meng, Feiyu (Individual Project MSc, Imperial College London, 03\/0217): Emotion Recognition with Long-term User Adaptation and Machines Learning with Personality and Emotion<\/li>\n
  70. Zhang, Jiehao (Individual Project MSc, Imperial College London, 03\/0217): Convolutional Neural Networks for Audio Analysis<\/li>\n
  71. Liu, Boqing\u00a0(Individual Project MSc, Imperial College London, 03\/0216): Speaker Diarisation and Deep Learning for Mobile Health: Depression Monitoring on the Smartphone<\/li>\n
  72. Wang, Jianhong (Individual Project MSc, Imperial College London, 03\/0216): Automatic animal sound classification and retrieval<\/li>\n
  73. Michael Freitag\u00a0 (Master Thesis, University of Passau, 09\/2017): Learning Meaningful Representations of Audio with Deep Neural Networks<\/li>\n
  74. Nithin Thomas\u00a0(Master Thesis, University of Passau, 09\/2017):\u00a0Enhancing acoustic based human trait recognition using intermediate features<\/li>\n
  75. Revathi Sadanand\u00a0(Master Thesis, University of Passau, 09\/2017): Feature set optimisation for multi-linqual emotion recognition<\/li>\n
  76. Mashood Tanveer\u00a0(Master Thesis, University of Passau, 09\/2017):\u00a0 End-to-end Audio-based Laughter Detection<\/li>\n
  77. Romeo D\u00f6ring (Master Thesis, University of Passau, 09\/2017): Collecting and Analysing Spoken Language for an Emotionally Intelligent Operating Room<\/li>\n
  78. Ali Noureldine\u00a0(Master Thesis, University of Passau, 09\/2017):\u00a0Multimodal sentiment analysis using neural network<\/li>\n
  79. Sahib Jyot Singh Julka (Master Thesis, University of Passau, 09\/2017):\u00a0Convolutional Recurrent Neural Networks for Rare Acoustic Event Detection<\/li>\n
  80. Piotr Ewiak (Individual Project MSc, Imperial College London, 03\/0218): Active Learning for Natural Language Classification Using Bayesian Neural Networks with Uncertainty Decomposition<\/li>\n
  81. Jiaxin Chen (Individual Project MSc, Imperial College London, 03\/0218): Natural Language Processing and Attentional-Based Fusion Strategies for Multimodal Sentiment Analysis<\/li>\n
  82. Bingwen Wu (Individual Project MSc, Imperial College London, 03\/0218): Convolutional Neural Networks for Audio Analysis<\/li>\n
  83. Douglas Feitosa Tome (Individual Project MSc, Imperial College London, 03\/0218): A Broad and Deep Analysis of Elastic Weight Consolidation in Large Convolutional Neural Networks<\/li>\n
  84. Konstantin Hemker (Individual Project MSc, Imperial College London, 03\/0218): Data Augmentation and Deep Learning for Hate Speech Detection<\/li>\n
  85. Rodrigo Schonburg Carrillo De Mira (Individual Project MSc, Imperial College London, 03\/0218): Music Composition using Recurrent Neural Networks<\/li>\n
  86. Alexander Shiarella (Individual Project MSc, Imperial College London, 03\/0218): Intelligent Audio Analysis for Continuous Rainforest Occupancy Monitoring<\/li>\n
  87. Julian Vossen (Individual Project MSc, Imperial College London, 03\/0218): Transcribing handwritten text in images<\/li>\n
  88. Damien Lancry (Individual Project MSc, Imperial College London, 03\/0218): Deep RL for simulated autonomous driving \/ video racing games<\/li>\n
  89. Miriam Berschneider (Master Thesis, University of Augsburg, 03\/2018): Stress Level Prediction Utilising Deep Multimodal Representation Learning and a Novel Data Acquisition Paradigm<\/li>\n
  90. Fabian Falck (Individual Project MSc, Imperial College London with University of Oxford, 03\/2018):\u00a0Time Series Modelling of Risk in Gestational Diabetes Mellitus<\/li>\n
  91. Julia Kr\u00fctzmann (Master Thesis, University of Augsburg, 05\/2018): Deep Transfer Learning for Non-Verbal Cue Detection Based on Speech of Autism Spectrum Condition Children<\/li>\n
  92. Lukas Rust (Master Thesis, University of Augsburg, 07\/2018): Diarization of Children Versus Adult Speech Incorporating Recent Deep Neural Network Architectures<\/li>\n
  93. Kevin Bichler (Master Thesis, University of Augsburg, 07\/2018): Automatic Feedback for Optimal Fitness Exercises Based on Heart Rate Variability<\/li>\n
  94. Elisabeth Wittmann (external Master Thesis with TUM, 05\/2018): Transfer Learning for Emotion Recognition on Multimodal Autism Spectrum Disorder Children Data<\/li>\n
  95. Matthias Kotowski (Master Thesis, University of Augsburg, 12\/2018): Identification and comparison of wearable devices for heart rate sensing<\/li>\n
  96. Yanis Guimard\u00a0(Individual Project MSc, Imperial College London, 03\/2019):\u00a0Personalized Machine Learning for Robot Perception<\/li>\n
  97. Vincent Brisse (Individual Project MSc, Imperial College London, 03\/2019):\u00a0Trance music generation using Deep Learning<\/li>\n
  98. Robert Lewis\u00a0(Individual Project MSc, Imperial College London, 03\/2019):\u00a0Active Learning for Video Understanding: Automatic Engagement Estimation from Child-robot Interactions<\/li>\n
  99. Anh Nguyen (Individual Project MSc, Imperial College London, 03\/2019):\u00a0\u00a0Natural Language Processing with Convolutional Neural Networks<\/li>\n
  100. Nicolas Tobis\u00a0(Individual Project MSc, Imperial College London, 03\/2019):\u00a0\u00a0Federated Learning for Video Understanding: Automatic Engagement Estimation from Child-robot Interactions<\/li>\n
  101. Meiru Zhang\u00a0(Individual Project MSc, Imperial College London, 03\/2019):\u00a0Active Learning for Video Understanding: Automatic Engagement Estimation from Child-robot Interactions<\/li>\n
  102. Max Elliot (Individual Project MSc, Imperial College London, 03\/2019): CNNs for Computer Audition<\/li>\n
  103. Thomas Wiest (Master Thesis, University of Augsburg, 03\/2019):
    \nLesion Detection on CT Images – Convolutional Neural Networks and Dynamic Computation Graphs<\/li>\n
  104. Andrew Whitmore (Master Thesis, University of Augsburg, 04\/2019): Depressive Speech Analysis Utilising Autoencoders and Convolutional Neural Networks<\/li>\n
  105. Aleksander Borecki (Individual Project MSc, Imperial College London, 02\/2020): Disentangled Representation Learning and Generative Adversarial Networks for Emotional Voice Cloning<\/li>\n
  106. Harry Coppock (Individual Project MSc, Imperial College London, 02\/2020): Vector Quantised-Variational Autoencoders (VQ-VAEs) for Representation learning<\/li>\n
  107. Korbinian Friedl (Individual Project MSc, Imperial College London, 02\/2020): Machine Support for Peer Reviewing Using Review Hallucination in the Presence of Soft Labels<\/li>\n
  108. Toby Godwin (Individual Project MSc, Imperial College London, 02\/2020): Empirical Analysis of Deep Learning Methods for Class Conditional Generation of Music<\/li>\n
  109. Pranay Shah (Individual Project MSc, Imperial College London, 02\/2020): Bayesian Deep Reinforcement Learning for Molecular Generation and Optimisation<\/li>\n
  110. Niklas Schr\u00f6ter (Master Thesis, University of Augsburg, 05\/2020): An Analysis of Bias and Fairness in Affective Computing orientated Machine Learning<\/li>\n
  111. Fabio Hellmann (Master Thesis, University of Augsburg, 06\/2020): Deformable Faster-RCNN for lesion detection in CT images<\/li>\n
  112. Lea Schumann (Master Thesis, University of Augsburg, 06\/2020): Deep Learning Annotation Optimisation for Emotion Recognition<\/li>\n
  113. Roopa Antony (Individual Project MSc, Imperial College London, 02\/2021): Mosquito Species Classification<\/li>\n
  114. Yirou Guo (Individual Project MSc, Imperial College London, 02\/2021): COVID-19 Pre-diagnosis by Deep Learning-based Audio and Speech Analysis<\/li>\n
  115. Zishen Li (Individual Project MSc, Imperial College London, 02\/2021): Automatic estimation of heart rate from video and audio signals<\/li>\n
  116. Xin Wen (Individual Project MSc, Imperial College London, 02\/2021): Automatic animal sound classification and retrieval<\/li>\n
  117. Weitong Zhang (Individual Project MSc, Imperial College London, 02\/2021): COVID-19 Pre-diagnosis by Deep Learning-based Audio and Speech<\/li>\n
  118. Haopeng Luo (Individual Project MSc, Imperial College London, 02\/2021): COVID-19 diagnosis based on volumetric chest CT scans<\/li>\n
  119. Haoguo Wu (Individual Project MSc, Imperial College London, 02\/2021): COVID-19 diagnosis based on volumetric chest CT scans<\/li>\n
  120. Anne Wullenweber (ERASMUS+ external Master Student with TUM, Imperial College London, 04\/2021 – 11\/2021): Advanced Deep Learning Methods for Speech Analysis<\/li>\n
  121. Anton Jonah (Individual Project MSc, Imperial College London, 02\/2022): Audio Barlow Twins: Self-Supervised Audio Representation Learning<\/li>\n
  122. Matthew Barker (Individual Project MSc, Imperial College London, 02\/2022): Introducing the Data FIBS Reporter – an open source toolkit for automated Feature Importance, Baseline modelling, and potential Spurious correlation detection<\/li>\n
  123. Yu Chen (Individual Project MSc, Imperial College London, 02\/2022): Multimodal Emotion Recognition with More Robust Feature Extraction<\/li>\n
  124. Liu Hongye (Individual Project MSc, Imperial College London, 02\/2022): Emotion Recognition in Speech and further Modalities<\/li>\n
  125. Yuzhao Peng (Individual Project MSc, Imperial College London, 02\/2022): COVID-19 Pre-diagnosis by Deep Learning-based Audio and Speech Analysis<\/li>\n
  126. Hwi Hsien Lew (Individual Project MSc, Imperial College London, 02\/2023): Multi-Modal Human Emotion Recognition<\/li>\n
  127. Ryan Perkins (Individual Project MSc, Imperial College London, 02\/2023): Stable diffusion for Speech Spectrograms<\/li>\n
  128. Tianyu Wang (Individual Project MSc, Imperial College London, 02\/2023): Automatic animal sound classification<\/li>\n
  129. Tomisin J. Ogunnubi (Undergraduate Individual Project MEng, Imperial College London, 11\/2024): Speech Emotion Recognition using Foundational Models<\/li>\n
  130. Yi Zhang (Undergraduate Individual Project MEng, Imperial College London, 11\/2024): Integrating Memory and Initiative into Large Language Models for Proactive Companion AI<\/li>\n
  131. Jiani Ding (Individual Project MAI, Imperial College London, 02\/2025): Automatic animal sound classification<\/li>\n
  132. Nina Peire (Individual Project MAI, Imperial College London, 02\/2025): Music Intervention in Healthcare using AI<\/li>\n
  133. Qingyang Zhou (Individual Project MAI, Imperial College London, 02\/2025): Explainable, Fair, and Green Speech Analysis<\/li>\n
  134. Aanish Sikora (Individual Project MAI, Imperial College London, 02\/2025): Automatic animal sound classification<\/li>\n
  135. Foo, Jin Rui (Individual Project MAI, Imperial College London, 02\/2025): Neuroplasticity in AI<\/li>\n
  136. Peng, Ruotong (Individual Project MAI, Imperial College London, 02\/2025): Reasoning for Computer Audition<\/li>\n
  137. Willems, Nikolas (Individual Project MAI, Imperial College London, 02\/2025): Exploring Temporal Synchrony and Coordination in Neural Networks<\/li>\n
  138. Yang, Jiaxuan (Individual Project MAI, Imperial College London, 02\/2025): Artificial Emotion<\/li>\n
  139. Zaottini, Jacopo (Individual Project MAI, Imperial College London, 02\/2025): Artificial Neurotransmitters for next generation Deep Neural Networks<\/li>\n
  140. Srivikram Mottur Venugopal (Individual Project MAI, Imperial College London, 02\/2025): Counterfactual Training for Faithful Chain-of-Thought in Large Language Models<\/li>\n<\/ol>\n

    \"Ready.\"<\/p>\n","protected":false},"excerpt":{"rendered":"

    Gunter Spahn (Diplomarbeit, TUM, 12\/2000): Nat\u00fcrlichsprachliche Navigation in virtuellen Welten Stephan Reiter (Diplomarbeit, TUM, 06\/2002): Automatische Emotionserkennung aus der sprachlichen und ber\u00fchrsensitiven Interaktion Ting-Yap Tong (Diplomarbeit, TUM, 02\/2003): Music Retrieval by probabilistic contextual integration of hummed, written, and spoken query Florian H\u00f6rger (Diplomarbeit, TUM, 09\/2003): Evaluierung von Merkmalen und Klassifikationsans\u00e4tzen\u2026<\/p>\n

    Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-150","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=150"}],"version-history":[{"count":67,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/150\/revisions"}],"predecessor-version":[{"id":8306,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/150\/revisions\/8306"}],"wp:attachment":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}