Nadine Kroher

Orcid: 0000-0001-9352-3609

According to our database1, Nadine Kroher authored at least 17 papers between 2014 and 2023.

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Bibliography

2023
Can MusicGen Create Training Data for MIR Tasks?
CoRR, 2023

DAACI-VoDAn: Improving Vocal Detection with New Data and Methods.
Proceedings of the 31st European Signal Processing Conference, 2023

2021
A polynomial algorithm for balanced clustering via graph partitioning.
Eur. J. Oper. Res., 2021

2019
Computing melodic templates in oral music traditions.
Appl. Math. Comput., 2019

Maths, Computation and Flamenco: Overview and Challenges.
Proceedings of the Mathematics and Computation in Music - 7th International Conference, 2019

2018
Discovery of Repeated Melodic Phrases in Folk Singing Recordings.
IEEE Trans. Multim., 2018

Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend.
CoRR, 2018

2017
Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies.
Comput. Music. J., 2017

MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives.
Proceedings of the 4th International Workshop on Digital Libraries for Musicology, 2017

2016
Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Corpus COFLA: A Research Corpus for the Computational Study of Flamenco Music.
ACM Journal on Computing and Cultural Heritage, 2016

Unsupervised singing voice detection using dictionary learning.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Comparison of the Singing Style of Two Jingju Schools.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Discovery of repeated vocal patterns in polyphonic audio: A case study on flamenco music.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Computational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors.
Proceedings of the Music Technology meets Philosophy, 2014

Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction.
Proceedings of the Music Technology meets Philosophy, 2014


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