Abstract : This paper deals with the transcription of vocal melodies in music recordings. The proposed system relies on two distinct pitch estimators which exploit characteristics of the human singing voice. A Hidden Markov Model (HMM) is used to fuse the pitch estimates and make voicing decisions. The resulting performance is evaluated on the MIREX 2006 Audio Melody Extraction data.
Type de document :
Autre publication
2006 Music Information Retrieval Evaluation eXchange (MIREX). 2006
https://hal.inria.fr/inria-00544277
Contributeur : Emmanuel Vincent
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Dernière modification le : vendredi 2 novembre 2018 - 21:59:03
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Identifiants
HAL Id : inria-00544277, version 1
Citation
Christopher Sutton, Emmanuel Vincent, Mark Plumbley, Juan Bello. Transcription of vocal melodies using voice characteristics and algorithm fusion. 2006 Music Information Retrieval Evaluation eXchange (MIREX). 2006. 〈inria-00544277〉
