Athanasios Lykartsis
Cited by
Cited by
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
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
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
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
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
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
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
Evaluation of accent-based rhythmic descriptors for genre classification of musical signals
A Lykartsis
Master’s thesis, Audio Communication Group, Technische Universität Berlin …, 2014
Musical dynamics classification with cnn and modulation spectra
L Marinelli, A Lykartsis, S Weinzierl, C Saitis
Proceedings of the 17th Sound and Music Computing Conference, Torino, Italy …, 2020
Acoustic identification of flat spots on wheels using different machine learning techniques
G Dernbach, A Lykartsis, L Sievers, S Weinzierl
Technische Universität Berlin, 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
Rhythm description for music and speech using the beat histogram with multiple novelty functions: First results
A Lykartsis, S Weinzierl
Technische Universität Berlin, 2019
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
A prototype deep learning system for the acoustic monitoring of intensive care patients
A Lykartsis, M Hädrich, S Weinzierl
2021 29th European Signal Processing Conference (EUSIPCO), 980-984, 2021
Eigen-images of head-related transfer functions
C Hold, F Seipel, F Brinkmann, A Lykartsis, S Weinzierl
Audio Engineering Society Convention 143, 2017
On the analysis of speech rhythm for language and speaker identification
A Lykartsis
Technische Universität Berlin, 2020
Eine qualitative Untersuchung der Generalisierungsverhaltens von CNNs zur Instrumentenerkennung
RB Gebhardt, A Lykartsis, S Weinzierl
Technische Universität Berlin, 2020
Music Mood Classification using Convolutional Neural Networks
J Stoltenberg, DL Tran, S Zoller, A Lykartsis, R Gebhardt, C Saitis, ...
A Confidence Measure For Key Labelling.
RB Gebhardt, M Stein, A Lykartsis
ISMIR, 3-9, 2018
Acoustic Identification of Flat Spots On Wheels Using Different Machine Learning Techniques Gabriel Dernbach1, Athanasios Lykartsis1, Leon Sievers2, Stefan Weinzierl1
G Dernbach, A Lykartsis, L Sievers, S Weinzierl
The system can't perform the operation now. Try again later.
Articles 1–20