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Dr. Athanasios Lykartsis

Lupe [1]
© Urban
Contact Data
Email
athanasios.lykartsis [at] tu-berlin.de
Office number
+49 (0) 30 314 75772
Office hours
With previous appointment

Curriculum Vitae

Lebenslauf
Born 29.03.1985 in Thessaloniki, Greece
07.2002: Graduation from the experimental school of the Aristoteles University Thessaloniki (AUTH), Thessaloniki, Greece
10.2002 - 07.2009: Studies in electric and computer engineering (Degree: Diploma in Engineering), department of electric and computer engineering, Aristoteles University Thessaloniki (AUTH), Thessaloniki, Greece
03.2008 - 09.2008: Erasmus-LLP exchange semester in the TU Berlin, Berlin, Germany
10.2009 - 05.2014: Master of science studies in audio communication and audio technology (Abschluss M. Sc.), audio communication group, TU Berlin, Berlin, Germany
04.2010 - 04.2015:  Teaching assistant for mathematics in faculty II (linear algebra/analysis I for engineers), and faculty I (measurement technology/digital audio technology), TU Berlin
10.2010 - 07.2011: Student research assistant at Deutsche Telekom Laboratories (T-Labs), Group Assessment of IP-Based Applications
10.2010 - 10.2013: Student research assistant at audio communication group: Tutor for digital signal processing and analog audio technology, assistance in research project SEACEN
02.2013 - 02.2020: PhD candidate at audio communication group, TU Berlin
Since 05.2014: Scientific research associate at audio communication group, TU Berlin

Current projects

Projects at Audio Communication Group
Collaboration in the project: "AcouMon – akustische Überwachung beatmungspflichtiger Patienten"

Supervision of Master Thesis projects:

  • Canberk Turan: "An investigation of Musical Expertise on the Neurological Processing of Spoken Language Rhythm" (2020)
  • Hamy Fard: "On Automatic Chord Recognition with Semantic Segmentation" (2020)
  • Ramon Wiegratz: "Adding Context Information to Deep Neural Network Based Audio Source Separation" (2020)
  • Sebastian Cycon: "Transfer and Multitask Learning for Music Classification Tasks" (2020)

Other/completed projects

Teaching
Dissertation: Analysis of Speech Rhythm for Language and Speaker Identification with the Beat Histogram
Teaching: In the summer semester: Machine Learning für Audio-Daten
In the winter semester: Audiotechnik Labor, Messtechnik

Teaching assistance for audio measurement technology (WiSe1314 und WiSe1415) und digital audio technology (WiSe1314), audio communication group, TU Berlin
Tutor für Lineare Algebra für Ingenieure (06/2010 - 10/2011) und Analysis für Ingenieure (10/2013 - 04/2014), faculty II, TU Berlin
Assistance in seminars: special topics in perception psychology and production and reception research and conduct of the Lab Exercise Audio Measurement Technology in the context of Audiotechnik Module
Student assistance
Tutor: EDS in WiSe1011/WiSe1112/WiSe1213, analog audio technology in SoSe11/SoSe12/SoSe13
Student assistant in project SEACEN [2] (07/2011 - 07/2013)
Student assistant at T-Labs, Assessment of IP-Based Applications  (10/2010 - 07/2011)

Publications

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Lykartsis, A.; Pysiewicz, A; von Coler, H.; Lepa, S. (2013). The Emotionality of Sonic Events : Testing the Geneva Emotional Music Scale (GEMS) for Popular and Electroacoustic Music [8]. Proceedings of the 3rd International Conference on Music & Emotion (ICME3) .

Lykartsis, A.; Lerch, A.; Weinzierl, S. (2015). Analysis of Speech Rhythm for Language Identification Based on Beat Histograms [9]. Fortschritte der Akustik: Tagungsband d. 41. DAGA .

Lykartsis, A.; Weinzierl, S. (2015). Using the Beat Histogram for Speech Rhythm Description and Language Identification [10]. Sixteenth Annual Conference of the International Speech Communication Association .

Lykartsis, A.; Wu, C. W.; Lerch, A. (2015). Beat Histogram Features from NMF-based Novelty Functions for Music Classification [11]. 6th International Society for Music Information Retrieval Conference .

Lykartsis, A.; Lerch, A. (2015). Beat Histogram Features for Rhythm-Based Musical Genre Classification using Multiple Novelty Functions [12]. Proceedings of the 18th International Conference on Digital Audio Effects (DAFx) .

Lykartsis, A. (2014). Evaluation of Rhythmic Descriptors for Genre Classification of Musical Signals [13]. Technische Universität Berlin , .

Lykartsis, A.; Weinzierl, S. (2016). Rhythm Description for Music and Speech Using the Beat Histogram with Multiple Novelty Functions: First Results [14]. Fortschritte der Akustik: Tagungsband d. 42. DAGA .

Stanev, M.; Redlich, J.; Knörzer, C.; Rosenfeld, N.; Lykartsis, A. (2016). Speech and Music Discrimination: Human Detection of Differences between Music and Speech based on Rhythm [15]. Proceedings of Speech Prosody 2016 .

Medebach, I.; Gutenkunst, T.; Hannemann, A.; Lykartsis, A.; Weinzierl, S. (2017). Classification Of Geometric Room Shapes Through Room Acoustic Parameters By Using Machine Learning Algorithms [16]. Fortschritte der Akustik: Tagungsband d. 43. DAGA .

Matalla, P.; Bögelein, S.; Kujawski, A.; Ortel, J.; Lykartsis, A. (2017). Fußbodenidentifizierung mittels Schrittgeräuschen Ansatz zur Sortierung einer Sound Library [17]. Fortschritte der Akustik: Tagungsband d. 43. DAGA .

Lykartsis, A.; Weinzierl, S.; Dellwo, V. (2017). Speaker Identification for Swiss German with Spectral and Rhythm Features [18]. AES Conference on Semantic Audio 2017 .

Lykartsis, A.; Dellwo, V. (2017). Statistical Analysis of Beat Histogram-based Speech Tempo Features for Language Discrimination [19]. Abstract Proceedings of the 16th Rhythm Production and Perception Workshop (RPPW) , .

Hold, C.; Seipel, F.; Brinkmann, F.; Lykartsis, A.; and Weinzierl, S. (2017). Eigen-Images of Head-Related Transfer Functions [20]. 143rd AES Convention, Convention Paper 9891 .

Gebhardt, R. B.; Stein, M.; Lykartsis, A. (2018). A Confidence Measure For Key Labelling [21]. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 3-9 .

Lykartsis, A.; Kotti, M.; Papangelis, A.; Stylianou, Y. (2018). Prediction of Dialogue Success with Spectral and Rhythm Acoustic Features Using SVMs and DNNs [22]. IEEE Speech and Language Technology Workshop 2018 .

Lykartsis, A.; Pysiewicz, A. (2018). Assessment of Feature Extraction Methods for Audio Fingerprinting [23]. Abstract/LBD Proceedings of the 19th International Society for Music Information Retrieval Conference .

Saitis, C.; Lykartsis, A.; Weinzierl, S. (2018). Verbal Data-Driven Semantic Dimensions of Musical Timbre [24]. Fortschritte der Akustik. Tagungsband d. 44. DAGA .

Lykartsis, A; Kotti, M (2019). Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks [25]. Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue .

Gebhardt, R; Lykartsis, A.; Weinzierl, S.; (2020). Eine qualitative Untersuchung der Generalisierungsverhaltens von CNNs zur Instrumentenerkennung [26]. Fortschritte der Akustik: Tagungsband d. 46. DAGA, Nürnberg, Germany .

Dernbach, G; Lykartsis, A; Sievers, L; Weinzierl, S. (2020). Acoustic Identification of Flat Spots On Wheels Using Different Machine Learning Techniques [27]. .

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