{"id":152,"date":"2015-12-07T01:07:30","date_gmt":"2015-12-07T01:07:30","guid":{"rendered":"http:\/\/www.schuller.it\/bws\/?page_id=152"},"modified":"2019-09-24T18:48:55","modified_gmt":"2019-09-24T18:48:55","slug":"supervised-bachelors-theses","status":"publish","type":"page","link":"http:\/\/www.schuller.it\/bws\/?page_id=152","title":{"rendered":"Supervised Bachelor’s Theses"},"content":{"rendered":"
    \n
  1. Ronald M\u00fcller (Bachelorarbeit, TUM, 10\/2002): Erkennung des psychologischen Sprecherzustands aus prosodischen Merkmalen<\/li>\n
  2. Martin Wieser (Bachelorarbeit, TUM, 09\/2003): Emotionserkennung in der haptischen Interaktion mittels Support Vector Machines<\/li>\n
  3. Marc Kirsch (Bachelorarbeit, TUM, 10\/2003): Usability-Untersuchungen zur nat\u00fcrlichsprachlichen Bedienung von Infotainmentfunktionen im Fahrzeug<\/li>\n
  4. Elmar Sommer (Bachelorarbeit, TUM, 11\/2003): Verfahren und Merkmale zur inhaltsbasierten Musiksuche<\/li>\n
  5. Moritz Dausinger (Bachelorarbeit, TUM, 11\/2006): Automatische Erkennung musikalischer Progressionen in polyphonem Audiomaterial (Automatic Chord Labeling in Original Audio Recordings)<\/li>\n
  6. Florian Eyben (Studienarbeit, TUM, 12\/2006): High Level Rhythmic Audio Features For Robust Music Information Retrieval<\/li>\n
  7. Qianqian Xu (Bachelorarbeit, TUM, 07\/2007): Audio-based Progression Recognition Incorporating Rhythm Analysis<\/li>\n
  8. Benedikt Gollan (Bachelorarbeit, TUM, 10\/2007): Musical Features for Recognition of Key in Real Audio (Musikalische Merkmale zur datengetriebenen Tonarterkennung in Originalaufnahmen)<\/li>\n
  9. Xiaohua Zhang (Studienarbeit, TUM, 01\/2008): Prosodic and Spectral Features in Segment-based Acoustic Modeling (Prosodische und spektrale Merkmale zur segmentbasierten Akustischen Modellierung)<\/li>\n
  10. Ugur \u00d6zcan (Studienarbeit, TUM, 01\/2008): Stressdetektion im Fahrzeug anhand akustischer Parameter (Detection of Driver’s Stress based on Acoustic Parameters)<\/li>\n
  11. 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)<\/li>\n
  12. Chi He (Studienarbeit, TUM, 06\/2008): Datenbank\u00fcbergreifende Erkennung von Emotion aus akustischen Parametern (Cross-Database Acoustic Emotion Recognition)<\/li>\n
  13. Haitao Liu (Studienarbeit, TUM, 06\/2008): Boosting Frame-Level Accuracy for Phoneme Recognition<\/li>\n
  14. Jian Li (Studienarbeit, TUM, 10\/2008): Einfluss des Sprechstils auf die Automatische Spracherkennung (On the Impact of Speaking Style on Automatic Speech Recognition )<\/li>\n
  15. 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)<\/li>\n
  16. 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 gro\u00dfen Archiven)<\/li>\n
  17. J\u00fcrgen Glatz (Bachelorarbeit, TUM, 02\/2009): Emotional Factors in Speech-based Surgeon-Robot Interaction<\/li>\n
  18. Christoph Kozielski (Bachelorarbeit, TUM, 08\/2009): Artist Gender Recognition in Popular Music by Non-Negative Matrix Factorization<\/li>\n
  19. Judith K\u00f6ppe (external Bachelorarbeit with Hochschule L\u00fcbeck 09\/2009): Speech-based Emotion Recognition in Real-Life Conditions<\/li>\n
  20. Felix Friedmann (Bachelorarbeit, TUM, 06\/2011): Recognition of Physiological Parameters in the Human Voice <\/li>\n
  21. Sebastian Stanislaw Wozny (Bachelorarbeit, TUM, 07\/2013): Voice separation in Hip-Hop music<\/li>\n
  22. Elzbieta Siwy (Individual Project BEng JMC, Imperial College London, 12\/2014): Multitask-Learning with Partially Unknown Labels for Rich Speaker Characterisation<\/li>\n
  23. Bayrak Ferhat (Bachelor’s Thesis, University of Passau, 02\/2016): Gamification concepts and the influence on crowdsourcing-based annotation tools<\/li>\n
  24. Tobias Kirschstein (Bachelor’s Thesis, University of Passau, 06\/2016): Adieu features? Learning appropriate data representations with Convolutional Neural Networks for multimodal emotion recognition<\/li>\n
  25. Sergey Pugachevskiy (Bachelor’s Thesis, University of Passau, 05\/2017):\u00a0Rich Database Generation based on Small-World Modelling of Social Media<\/li>\n
  26. Maurice\u00a0Gerczuk (Bachelor’s Thesis, University of Passau, 05\/2017):\u00a0Data-driven Approaches to Harness Rich Social Media Resources for Emotion Recognition<\/li>\n
  27. Sandra Ottl (Bachelor’s Thesis, University of Passau, 05\/2017):\u00a0Towards Big Data Multimodal Feature Fusion for Sentiment Analysis<\/li>\n
  28. Lorenz Wendlinger (Bachelor’s Thesis, University of Passau, 05\/2017):\u00a0Emotion Recognition in Speech Using Vocal Landmarks<\/li>\n
  29. Tobias Geib (Bachelor’s Thesis, University of Passau, 08\/2017):\u00a0Automatic Guitar String Detection by String-Inverse Frequency Estimation<\/li>\n
  30. \u00a0Alexander Abstreiter (Bachelor’s Thesis, University of Passau, 08\/2017):\u00a0Intelligent user trustability-based solutions for crowdsourced audio annotation<\/li>\n
  31. Jonas\u00a0Hunklinger (Bachelor’s Thesis, University of Passau, 09\/2017):\u00a0More Dimensional Cellular Automata for Audio Scrambling<\/li>\n
  32. Christoph\u00a0 Stemp (Bachelor’s Thesis, University of Passau, 09\/2017):\u00a0Implementing User Trustability-based Quality Mechanisms in a Crowdsourcing Environment<\/li>\n
  33. Tobias Olenyi\u00a0(Bachelor’s Thesis, University of Passau, 08\/2017):\u00a0Classifiying Voice Likability with Instruments of Machine Learning<\/li>\n
  34. Denis\u00a0Zwierz (Bachelor’s Thesis, University of Passau, 06\/2016):\u00a0Expanding a gamified crowdsourcing platform for data annotation with competetive gameplay instruments<\/li>\n
  35. Tobias Susetzky (Bachelor’s Thesis, University of Passau, 09\/2018):\u00a0 Neural network applications for algorithmic trading<\/li>\n
  36. Thorben Voss\u00a0(Bachelor’s Thesis, University of Passau, 09\/2018):\u00a0 Ereignisdetektion mittels tiefer neuronaler Netze im Kontext eines Smart Homes<\/li>\n
  37. Lea Schumann (Bachelor’s Thesis, University of Augsburg, 06\/2018): Generative Adversarial Networks for Medical Applications<\/li>\n
  38. Maximilian Zangl (Bachelor’s Thesis, University of Augsburg, 06\/2018): Audio Based Emotional Synthesis, utilising Generative Adversarial Networks<\/li>\n
  39. Alexander Gebhard (Bachelor’s Thesis, University of Augsburg, 06\/2018): Deep Convolutional Neural Networks for Audio Analysis<\/li>\n
  40. Niklas Schr\u00f6ter (Bachelor’s Thesis, University of Augsburg, 06\/2018): Automated Depression Diagnosis based on Deep Reccurent Neural Netwroks and (Deep) Facial Features<\/li>\n
  41. Dariia Grishina (Bachelor’s Thesis, University of Passau, 07\/2018):\u00a0 Crowdsourcing-based speech data collection<\/li>\n
  42. Benjamin Sertolli (Bachelor’s Thesis, University of Augsburg, 07\/2018):
    \nDeep End-to-End Representation learning from Automatic Speech Recognition Networks for Computational Paralinguistics<\/li>\n
  43. Lukas Koebe (Bachelor’s Thesis, University of Augsburg, 08\/2018): Designing Recurrent Cells with Efficient Neural Architecture Search<\/li>\n
  44. Maximilian Ammann (Bachelor’s Thesis, University of Augsburg, 07\/2019): Speech Separation using Deep Clustering<\/li>\n
  45. Moritz Hanneman (Bachelor’s Thesis, University of Augsburg, 07\/2018): Optical flow features for visual based pain recognition<\/li>\n
  46. Stephan Wolf (Bachelor’s Thesis, University of Augsburg, 11\/2018): Soccer Player Rating \/ Entwicklung eines Bewertungssystems f\u00fcr Fu\u00dfballspieler<\/li>\n
  47. Merlin Albes (Bachelor’s Thesis, University of Augsburg, 07\/2019):
    \nLow Resource Neural Networks for Healthcare Applications<\/li>\n
  48. Michelle Lienhart (Bachelor’s Thesis, University of Augsburg, 07\/2019): Automated Cell Detection<\/li>\n
  49. Pawel Winokurow (Bachelor’s Thesis, University of Augsburg, 07\/2019):\u00a0 Sequence to Sequence Autoencoders with Attention Mechanism for Continous Sleepiness recognition<\/li>\n
  50. Daniel Mittereder (Bachelor’s Thesis, University of Augsburg, 09\/2019): Data Augmentation with Generative Adversarial Networks for Rare Medical Data<\/li>\n
  51. Mario Semmler (Bachelor’s Thesis, University of Augsburg, 07\/2019): CNN-based Pollen classification<\/li>\n<\/ol>\n

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

    Ronald M\u00fcller (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 nat\u00fcrlichsprachlichen Bedienung von Infotainmentfunktionen im Fahrzeug Elmar Sommer (Bachelorarbeit, TUM, 11\/2003): Verfahren und Merkmale zur inhaltsbasierten Musiksuche\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-152","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/152","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=152"}],"version-history":[{"count":17,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/152\/revisions"}],"predecessor-version":[{"id":4255,"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=\/wp\/v2\/pages\/152\/revisions\/4255"}],"wp:attachment":[{"href":"http:\/\/www.schuller.it\/bws\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}