Biblio

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C
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. 507-513. Abstract
D
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).
K
Kroher, N. (2013).  Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings. Abstract
application/pdf iconNadine-Kroher-Master-Thesis-2013.pdf
Kroher, N., & Gómez E. (2014).  Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction.. International Computer Music Conference/Sound and Music Computing Conference. Abstract
application/pdf iconCameraReady_VoicingDetection.pdf
Kroher, N., Gómez E., & Ramirez R. (2013).  Caracterización automática del cante flamenco a base de análisis de grabaciones.. Investigación y Flamenco (INFLA).
Kroher, N., Gómez E., Guastavino C., Gómez-Martín F., & Bonada J. (2014).  Computational models for perceived melodic similarity in a cappella flamenco cantes. 15th International Society for Music Information Retrieval Conference.
application/pdf iconMelodicSimilarityCameraReady.pdf
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. Abstract
application/pdf iconFMA2014_submission_kroher_et_al.pdf
Kroher, N., & Gómez E. (2016).  Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25(5), 901-913. Abstract
application/pdf iconAutomaticTranscriptionAuthorCopy.pdf
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).
Kroher, N., & Gómez E. (2014).  Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors. International Computer Music Conference/Sound and Music Computing Conference.
application/pdf iconCameraReady_SingerID.pdf
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