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 | 58 | 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 | 50 | 2016 |
Automatic singer identification for improvisational styles based on vibrato, timbre and statistical performance descriptors N Kroher, E Gómez International Computer Music Conference/Sound and Music Computing Conference, 2014 | 23 | 2014 |
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 | 18 | 2021 |
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 | 18 | 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 | 17 | 2017 |
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 | 17 | 2014 |
Audio-based melody categorization: exploring signal representations and evaluation strategies N Kroher, JM Díaz-Báñez Computer Music Journal 41 (4), 64-82, 2018 | 15 | 2018 |
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 | 12 | 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 | 12 | 2016 |
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 | 11 | 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 | 11 | 2019 |
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 | 11 | 2017 |
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 | 10 | 2021 |
The flamenco cante: Automatic characterization of flamenco singing by analyzing audio recordings N Kroher Unpublished doctoral dissertation). Master thesis, Universitat Pompeu Fabra …, 2013 | 10 | 2013 |
Processing system for generating a playlist from candidate files and method for generating a playlist JMW Lyske, N Kroher, A Pikrakis US Patent 11,544,565, 2023 | 7 | 2023 |
Computing melodic templates in oral music traditions S Bereg, JM Díaz-Báñez, N Kroher, I Ventura Applied Mathematics and Computation 344, 219-229, 2019 | 7 | 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 | 7 | 2015 |
System and Method for Recommending Semantically Relevant Content JMW Lyske, N Kroher, A Pikrakis US Patent App. 17/492,211, 2022 | 6 | 2022 |
System and method for evaluating semantic closeness of data files JMW Lyske, N Kroher, A Pikrakis US Patent 11,977,845, 2024 | 5 | 2024 |