Publications

Journal articles

N. Kroher and J.-M. Díaz-Báñez (In Press). Audio-based melody categorisation: exploring signal representations and evaluation strategies. Accepted for publication in Computer Music Journal (CMJ).

Kroher, N., Díaz-Báñez, J. M., Mora, J. & Gómez, E. (2016). Corpus COFLA: A research corpus for the computational study of flamenco music. ACM Journal on Computing and Cultural Heritage. pp. 10:1-10:21.

Kroher, N. & Gómez, E. (2016). Automatic Transcription of Flamenco Singing from Polyphonic Music Recordings. ACM / IEEE Transactions on Audio, Speech and Language Processing, 24(5), pp. 901-913.

Conference papers

N. Kroher, A. Pikrakis and J.-M. Díaz-Báñez (2017). Image-based singer identification in flamenco videos. In Proceedings of the 7th International Workshop on Folk Music Analysis, pp. 88-92.

I. Morales, N. Kroher and J.-M. Díaz-Báñez (2017). Melodic pattern corss-ocurrences between guitar falsetas and singing voice in flamenco music. In Proceedings of the 7th International Workshop on Folk Music Analysis, pp. 119-120.

I. Marqués, N. Kroher, J. Mora and J.-M. Díaz-Báñez (2017). Extraction and classification of ornamentation in flamenco singing: An evolution-based approach In Proceedings of the 7th International Workshop on Folk Music Analysis, pp. 121-122.

Bereg S., Díaz-Báñez, J.-M, Kroher N. and Ventura I. (2016). Towards Generating Melodic Templates from Performance Transcriptions. The 26th Fall Workshop on Computational Geometry, New York.

Pikrakis, A., Kopsinis, Y., Kroher, N. and Díaz-Báñez, J.-M. (2016). Unsupervised Singing Voice Detection Using Dictionary Learning. Proceedings of the European Signal Processing Conference (EUSIPCO), Budapest, Hungary, pp. 1212-1216.

N. Kroher and J.M. Díaz-Báñez (2016). Towards Flamenco Style Recognition: the Challenge of Modelling the Aficionado. Proceedings of the 6th International Workshop on Folk Music Analysis (FMA), pp. 61-63.

Pikrakis, A., Kroher, N. and Díaz-Báñez, J. M. (2016). Detection of melodic patterns in automatic flamenco transcriptions. Proceedings of the 6th International Workshop on Folk Music Analysis (FMA), pp. 14-17.

Díaz-Báñez, J. M., Kroher N., & Rizo J. C. (2015).  Efficient algorithms for melodic similarity in flamenco singing. 5th International Workshop on Folk Music Analysis (FMA).

Kroher, N., Pikrakis A., Moreno J., & Díaz-Báñez J. M. (2015).  Discovery of Repeated Vocal Patterns in Polyphonic Audio: a Case Study on Flamenco Music. European Signal Processing Conference (EUSIPCO), Nice, France.

Caro Repetto, R., Gong R., Kroher N., & Serra X. (2015).  Comparison of the singing style of two jingju schools. 16th International Society for Music Information Retrieval (ISMIR) Conference, Taipei, Taiwan, pp. 507-513.

Kroher, N. and Gómez, E. (2014). Computational Models for Perceived Melodic Similarity Among A Cappella Flamenco Cantes. 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan.

Kroher, N. and Gómez. E. (2014). Automatic Singer Identification for Improvisational Styles Based on Vibrato, Timbre and Statistical Performance Descriptors. 11th Sound and Music Conference (SMC), Athens, Greece.

Kroher, N. and Gómez. E. (2014). Improving automatic flamenco singingvoice transcription by combining vocal detection and singing voice transcription. 11th Sound and Music Conference (SMC), Athens, Greece.

Kroher, N., Gómez, E., Sordo, M., Gómez-Martín, F., Díaz-Báñez, J.-M., Mora, J., et al. (2014). Computational ethnomusicology: a study of flamenco and Arab-Andalusian vocal music. 4th International Workshop On Folk Music Analysis, Istanbul, Turkey.

Kroher, N., Gómez, E. & Ramírez, R. (2013). Caracterización automática del cante flamenco a base de análisis de grabaciones. Investigación y Flamenco (INFLA), Seville, Spain.

Book chapters

Kroher, N., Chaachoo, A., Díaz-Báñez J.-M., Gómez, E., Gómez-Martín, F., Mora, J. and  Sordo, M. (In Press). Computational ethnomusicology: a study of flamenco and Arab-Andalusian vocal music. Handbook for Systematic Musicology. Springer.

Theses

Master thesis (Music Technology Group, UPF Barcelona, Spain): -2013-
The Flamenco Cante: Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings.

Master thesis (IEM, KUG Graz, Austria): -2011-
Acoustic feedbacks in sound reinforcement systems with directivity.
Thesis (PDF) and published book.

Research project (IEM, KUG Graz, Austria): -2010-
Localization in Audio Augmented Reality systems using binaural signals.

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