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2020 – today
- 2022
[i6]José Miguel Díaz-Báñez, Nadine Kroher:
Maths, Computation and Flamenco: overview and challenges. CoRR abs/2209.10970 (2022)- [i5]Sergey Bereg, José Miguel Díaz-Báñez, Nadine Kroher, Inmaculada Ventura:
Computing Melodic Templates in Oral Music Traditions. CoRR abs/2209.13598 (2022) - 2021
- [j6]Luis Evaristo Caraballo, José Miguel Díaz-Báñez
, Nadine Kroher:
A polynomial algorithm for balanced clustering via graph partitioning. Eur. J. Oper. Res. 289(2): 456-469 (2021)
2010 – 2019
- 2019
- [j5]Sergey Bereg, José Miguel Díaz-Báñez, Nadine Kroher, Inmaculada Ventura:
Computing melodic templates in oral music traditions. Appl. Math. Comput. 344-345: 219-229 (2019) - [c8]José Miguel Díaz-Báñez, Nadine Kroher:
Maths, Computation and Flamenco: Overview and Challenges. MCM 2019: 344-351 - 2018
- [j4]Nadine Kroher, Aggelos Pikrakis, José Miguel Díaz-Báñez:
Discovery of Repeated Melodic Phrases in Folk Singing Recordings. IEEE Trans. Multim. 20(6): 1291-1304 (2018) - [i4]Luis Evaristo Caraballo, José Miguel Díaz-Báñez, Nadine Kroher:
A Polynomial Algorithm for Balanced Clustering via Graph Partitioning. CoRR abs/1801.03347 (2018) - [i3]Nadine Kroher, Aggelos Pikrakis:
Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend. CoRR abs/1807.00069 (2018) - 2017
- [j3]Nadine Kroher, José Miguel Díaz-Báñez:
Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies. Comput. Music. J. 41(4) (2017) - [c7]Reinier de Valk, Anja Volk, Andre Holzapfel, Aggelos Pikrakis, Nadine Kroher, Joren Six:
MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives. DLfM 2017: 25-28 - 2016
- [j2]Nadine Kroher, José Miguel Díaz-Báñez, Joaquín Mora, Emilia Gómez:
Corpus COFLA: A Research Corpus for the Computational Study of Flamenco Music. ACM Journal on Computing and Cultural Heritage 9(2): 10:1-10:21 (2016) - [j1]Nadine Kroher, Emilia Gómez:
Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 901-913 (2016) - [c6]Aggelos Pikrakis, Yannis Kopsinis, Nadine Kroher, José Miguel Díaz-Báñez:
Unsupervised singing voice detection using dictionary learning. EUSIPCO 2016: 1212-1216 - 2015
- [c5]Nadine Kroher, Aggelos Pikrakis, Jesús Moreno, José Miguel Díaz-Báñez:
Discovery of repeated vocal patterns in polyphonic audio: A case study on flamenco music. EUSIPCO 2015: 41-45 - [c4]Rafael Caro Repetto, Rong Gong, Nadine Kroher, Xavier Serra:
Comparison of the Singing Style of Two Jingju Schools. ISMIR 2015: 507-513 - [i2]Nadine Kroher, José Miguel Díaz-Báñez, Joaquín Mora, Emilia Gómez:
Corpus COFLA: A research corpus for the Computational study of Flamenco Music. CoRR abs/1510.04029 (2015) - [i1]Nadine Kroher, Emilia Gómez:
Automatic Transcription of Flamenco Singing from Polyphonic Music Recordings. CoRR abs/1510.04039 (2015) - 2014
- [c3]Nadine Kroher, Emilia Gómez:
Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction. ICMC 2014 - [c2]Nadine Kroher, Emilia Gómez:
Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors. ICMC 2014 - [c1]Nadine Kroher, Emilia Gómez, Catherine Guastavino, Francisco Gómez, Jordi Bonada:
Computational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing. ISMIR 2014: 65-70
Coauthor Index
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