Nadine Kroher
Nadine Kroher


  Affiliation history
Bibliometrics: publication history
Average citations per article0.00
Citation Count0
Publication count3
Publication years2016-2017
Available for download3
Average downloads per article52.67
Downloads (cumulative)158
Downloads (12 Months)74
Downloads (6 Weeks)7
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1 published by ACM
October 2017 DLfM '17: Proceedings of the 4th International Workshop on Digital Libraries for Musicology
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 14,   Downloads (Overall): 14

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This study is a call for action for the music information retrieval (MIR) community to pay more attention to collaboration with digital music archives. The study, which resulted from an interdisciplinary workshop and subsequent discussion, matches the demand for MIR technologies from various archives with what is already supplied by ...
Keywords: Applying MIR, collaboration, digital music archives, documentation

2 published by ACM
May 2016 Journal on Computing and Cultural Heritage (JOCCH): Volume 9 Issue 2, May 2016
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 49,   Downloads (Overall): 128

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Flamenco is a music tradition from Southern Spain that attracts a growing community of enthusiasts around the world. Its unique melodic and rhythmic elements, the typically spontaneous and improvised interpretation, and its diversity regarding styles make this still largely undocumented art form a particularly interesting material for musicological studies. In ...
Keywords: computational ethnomusicology, Research corpus, flamenco

May 2016 IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP): Volume 24 Issue 5, May 2016
Publisher: IEEE Press
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 11,   Downloads (Overall): 16

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Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case of flamenco singing transcription poses a particular challenge due to its complex melodic progressions, intonation inaccuracies, the use of a high degree of ornamentation, and the presence of guitar accompaniment. In this ...
Keywords: pitch contour, audio content description, automatic music transcription, music information retrieval, singing voice

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