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staff:vatolkin:teachingtheses [2020-08-27 08:56] igor.vatolkin |
staff:vatolkin:teachingtheses [2021-11-23 17:57] igor.vatolkin |
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===== Currently Supervised Theses (BT: Bachelor; MT: Master; DT: Diploma) ===== | ===== Currently Supervised Theses (BT: Bachelor; MT: Master; DT: Diploma) ===== | ||
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+ | * <html><b><font color=#006633>[35] </font><font color=#61380B>MT </font><font color=#0000FF>Abstandsmaße zur evolutionären Klangapproximation auf Audiodaten (Distance measures for evolutionary approximation of audio data)</font></b></html>\\ // Philipp Ginsel; // 1. Reviewer: //G. Rudolph//; 2. Reviewer: //I. Vatolkin//\\ <html><font color=#996600>2021</font></html> | ||
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+ | * <html><b><font color=#006633>[34] </font><font color=#61380B>BT </font><font color=#0000FF>Optimierung der Berechnung von Zygonen im „Schuberts Winterreise Dataset“ mit beat-synchronen Audiomerkmalen (Optimization of the calculation of zygones in "Schuberts Winterreise Dataset" with beat-synchronized audio features)</font></b></html>\\ // Felix Wolff; // 1. Reviewer: //I. Vatolkin//; 2. Reviewer: //M. Ebeling//\\ <html><font color=#996600>2021</font></html> | ||
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+ | * <html><b><font color=#006633>[33] </font><font color=#61380B>MT </font><font color=#0000FF>Einbeziehung verschiedener Klangkörper zum robusten Training neuronaler Netze für Instrumentenerkennung (Inclusion of different instrument bodies for robust training of neural networks for instrument recognition)</font></b></html>\\ // Florian Scholz; // 1. Reviewer: //I. Vatolkin//; 2. Reviewer: //H. Müller//\\ <html><font color=#996600>2021</font></html> | ||
===== Past Theses ===== | ===== Past Theses ===== | ||
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+ | * <html><b><font color=#006633>[32] </font><font color=#61380B>BT </font><font color=#0000FF>Unterdrückung von Hintergrundgeräuschen in Sprachsignalen mit künstlichen neuronalen Netzen am Beispiel von Tastaturgeräuschen (Suppression of background noise in speech signals with artificial neural networks, exemplarily applied to keypad sound)</font></b></html>\\ // Leonard Fricke; // 1. Reviewer: //I. Vatolkin//; 2. Reviewer: //J. Kuzmic//\\ <html><font color=#996600>2021</font></html> | ||
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+ | * <html><b><font color=#006633>[31] </font><font color=#61380B>BT </font><font color=#0000FF>Restaurierung von Klavierstücken mittels Convolutional Neural Networks, am Beispiel von Johannes Brahms' Phonograph-Aufnahmen aus dem Jahre 1889 (Restoration of piano pieces of Johannes Brahms' phonograph recordings from 1889 with Convolutional Neural Networks)</font></b></html>\\ // Hassan Matout; // 1. Reviewer: //I. Vatolkin//; 2. Reviewer: //R. Kalkreuth//\\ <html><font color=#996600>2021</font></html> | ||
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+ | * <html><b><font color=#006633>[30] </font><font color=#61380B>BT </font><font color=#0000FF>Integration von Clusterverfahren in AMUSE (Integration of cluster methods in AMUSE)</font></b></html>\\ // Pauline Speckmann; // 1. Reviewer: //G. Rudolph//; 2. Reviewer: //I. Vatolkin//\\ <html><font color=#996600>2021</font></html> | ||
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+ | * <html><b><font color=#006633>[29] </font><font color=#61380B>MT </font><font color=#0000FF>Modellierung des menschlichen Musikgeschmacks mit neuronalen Netzen (Modelling of listener music preferences with neural networks)</font></b></html>\\ // Fabian Ostermann; // 1. Reviewer: //G. Rudolph//; 2. Reviewer: //I. Vatolkin//\\ <html><font color=#996600>2021</font></html> | ||
* <html><b><font color=#006633>[28] </font><font color=#61380B>MT </font><font color=#0000FF>Multimodale Klassifikation von Musik mit Bayesschen Netzen (Multi-modal classification of music with Bayes nets)</font></b></html>\\ // Tobias Klöppner; // 1. Reviewer: //G. Rudolph//; 2. Reviewer: //I. Vatolkin//\\ <html><font color=#996600>2020</font></html> | * <html><b><font color=#006633>[28] </font><font color=#61380B>MT </font><font color=#0000FF>Multimodale Klassifikation von Musik mit Bayesschen Netzen (Multi-modal classification of music with Bayes nets)</font></b></html>\\ // Tobias Klöppner; // 1. Reviewer: //G. Rudolph//; 2. Reviewer: //I. Vatolkin//\\ <html><font color=#996600>2020</font></html> |