Seeking the SuperStar: automatic assessment of perceived singing quality

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: International Joint Conference on Neural Networks (IJCNN), 14-19 May 2017, Anchorage, AK, USA, S. 1560-1569

Classification: Musik

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2017

Event: Veröffentlichung

(where): Piscataway, NJ

(who): IEEE

(when): 2017

Creator: Bohm, Johanna
Eyben, Florian
Schmitt, Maximilian
Kosch, Harald
Schuller, Björn

DOI: 10.1109/ijcnn.2017.7966037

URN: urn:nbn:de:bvb:384-opus4-719975

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:30 AM CEST

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Associated

Bohm, Johanna
Eyben, Florian
Schmitt, Maximilian
Kosch, Harald
Schuller, Björn
Universität Augsburg
IEEE

Time of origin

2017

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Seeking the SuperStar: automatic assessment of perceived singing quality

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Other Objects (12)

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Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music

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Deep neural networks for anger detection from real life speech data

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