Athanasios Lykartsis
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Beat Histogram Features from NMF-Based Novelty Functions for Music Classification
A Lykartsis, CW Wu, A Lerch
Proceedings of the 16th International Society for Music Information …, 2015
20*2015
The emotionality of sonic events: testing the geneva emotional music scale (GEMS) for popular and electroacoustic music
A Lykartsis, A Pysiewicz, H von Coler, S Lepa
The 3rd International Conference on Music & Emotion, Jyväskylä, Finland …, 2013
202013
Beat Histogram Features for Rhythm-Based Musical Genre Classification Using Multiple Novelty Functions
A Lykartsis, A Lerch
Proceedings of the 18th International Conference on Digital Audio Effects …, 2015
162015
Using the Beat Histogram for Speech Rhythm Description and Language Identification
A Lykartsis, S Weinzierl
Proceedings of the Sixteenth Annual Interspeech Conference of the …, 2015
82015
Speaker identification for swiss german with spectral and rhythm features
A Lykartsis, S Weinzierl, V Dellwo
Audio Engineering Society Conference: 2017 AES International Conference on …, 2017
42017
Evaluation of accent-based rhythmic descriptors for genre classification of musical signals
A Lykartsis
Master’s thesis, Audio Communication Group, Technische Universität Berlin …, 2014
42014
Rhythm description for music and speech using the beat histogram with multiple novelty functions: First results
A Lykartsis, S Weinzierl
10.14279/depositonce-9530, 2016
32016
Analysis of Speech Rhythm for Language Identification Based on Beat Histograms
A Lykartsis, A Lerch, S Weinzierl
Fortschritte der Akustik: Tagungsband d. 41. DAGA, Nürnberg, Germany, 2015
32015
Prediction of dialogue success with spectral and rhythm acoustic features using dnns and svms
A Lykartsis, M Kotti, A Papangelis, Y Stylianou
2018 IEEE Spoken Language Technology Workshop (SLT), 838-845, 2018
22018
Eigen-Images of Head-Related Transfer Functions
C Hold, F Seipel, F Brinkmann, A Lykartsis, S Weinzierl
Audio Engineering Society Convention 143, 2017
22017
Speech and Music Discrimination: Human Detection of Differences between Music and Speech based on Rhythm
M Stanev, J Redlich, C Knörzer, N Rosenfeld, A Lykartsis
Proceedings of the 2016 Speech Prosody Conference, 2016
22016
Musical dynamics classification with cnn and modulation spectra
L Marinelli, A Lykartsis, S Weinzierl, C Saitis
SMC, 2020
12020
Eine qualitative Untersuchung der Generalisierungsverhaltens von CNNs zur Instrumentenerkennung
RB Gebhardt, A Lykartsis, S Weinzierl
2020
Acoustic Identification of Flat Spots On Wheels Using Different Machine Learning Techniques
G Dernbach, A Lykartsis, L Sievers, S Weinzierl
2020
On the analysis of speech rhythm for language and speaker identification
A Lykartsis
2020
Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks
A Lykartsis, M Kotti
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019
2019
Music Mood Classification using Convolutional Neural Networks
J Stoltenberg, DL Tran, S Zoller, A Lykartsis, R Gebhardt, C Saitis, ...
2019
A Confidence Measure For Key Labelling.
RB Gebhardt, M Stein, A Lykartsis
ISMIR, 3-9, 2018
2018
Fußbodenidentifizierung mittels Schrittgeräuschen Ansatz zur Sortierung einer Sound Library Philipp Matalla1, Silke Bögelein1, Adam Kujawski1, Jonas Oertel1, Athanasios Lykartsis1
P Matalla, S Bögelein, A Kujawski, J Oertel, A Lykartsis
Classification Of Geometric Room Shapes Through Room Acoustic Parameters By Using Machine Learning Algorithms Ina Medebach, Tobias Gutenkunst, Ajan Hannemann
A Lykartsis, S Weinzierl
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Artiklar 1–20