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.
https://hal.inria.fr/inria-00544277
Contributor : Emmanuel Vincent
<>
Submitted on : Tuesday, December 7, 2010 - 3:50:24 PM
Last modification on : Friday, November 2, 2018 - 9:59:03 PM
Document(s) archivé(s) le : Monday, November 5, 2012 - 12:35:25 PM
Christopher Sutton, Emmanuel Vincent, Mark Plumbley, Juan Bello. Transcription of vocal melodies using voice characteristics and algorithm fusion. 2006. ⟨inria-00544277⟩
