Nadine Kroher
Cited by
Cited by
Automatic transcription of flamenco singing from polyphonic music recordings
N Kroher, E Gómez
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 901-913, 2016
Corpus COFLA: A research corpus for the computational study of flamenco music
N Kroher, JM Díaz-Báñez, J Mora, E Gómez
Journal on Computing and Cultural Heritage (JOCCH) 9 (2), 1-21, 2016
Computational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing.
N Kroher, E Gómez, C Guastavino, F Gómez, J Bonada
ISMIR, 65-70, 2014
Automatic singer identification for improvisational styles based on vibrato, timbre and statistical performance descriptors
N Kroher, E Gómez
ICMC, 2014
Comparision of the singing style of two Jingju schools
R Caro Repetto, R Gong, N Kroher, X Serra
Müller M, Wiering F, editors. ISMIR 2015. 16th International Society for …, 2015
MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives
R De Valk, A Volk, A Holzapfel, A Pikrakis, N Kroher, J Six
Proceedings of the 4th International Workshop on Digital Libraries for …, 2017
Computational ethnomusicology: a study of flamenco and Arab-Andalusian vocal music
N Kroher, E Gómez, A Chaachoo, M Sordo, JM Díaz-Báñez, F Gómez, ...
Springer Handbook of Systematic Musicology, 885-897, 2018
Unsupervised singing voice detection using dictionary learning
A Pikrakis, Y Kopsinis, N Kroher, JM Díaz-Báñez
2016 24th European Signal Processing Conference (EUSIPCO), 1212-1216, 2016
The flamenco cante: Automatic characterization of flamenco singing by analyzing audio recordings
N Kroher
Unpublished doctoral dissertation). Master thesis, Universitat Pompeu Fabra …, 2013
Audio-based melody categorization: Exploring signal representations and evaluation strategies
N Kroher, JM Díaz-Báñez
Computer Music Journal 41 (4), 64-82, 2018
Discovery of repeated melodic phrases in folk singing recordings
N Kroher, A Pikrakis, JM Díaz-Báñez
IEEE Transactions on Multimedia 20 (6), 1291-1304, 2017
A polynomial algorithm for balanced clustering via graph partitioning
LE Caraballo, JM Díaz-Báñez, N Kroher
European Journal of Operational Research 289 (2), 456-469, 2021
Modelling melodic variation and extracting melodic templates from flamenco singing performances
N Kroher, JM Díaz-Báñez
Journal of Mathematics and Music 13 (2), 150-170, 2019
Discovery of repeated vocal patterns in polyphonic audio: A case study on flamenco music
N Kroher, A Pikrakis, J Moreno, JM Díaz-Báñez
2015 23rd European Signal Processing Conference (EUSIPCO), 41-45, 2015
Computing melodic templates in oral music traditions
S Bereg, JM Díaz-Báñez, N Kroher, I Ventura
Applied Mathematics and Computation 344, 219-229, 2019
Method of training a neural network and related system and method for categorizing and recommending associated content
JMW Lyske, N Kroher, A Pikrakis
US Patent App. 17/039,069, 2021
Towards flamenco style recognition: The challenge of modelling the aficionado
N Kroher, JM Dıaz-Banez
Proceedings of the International Workshop on Folk Music Analysis, 61-63, 2016
Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
JMW Lyske, N Kroher, A Pikrakis
US Patent 11,080,601, 2021
Tecnologías para el análisis multidisciplinar del flamenco
JM Díaz-Báñez, N Kroher
Investigación y creatividad estética del Flamenco: nuevas perspectivas de …, 2022
Flamenco music information retrieval.
N Kroher
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