Transcription of vocal melodies using voice characteristics and algorithm fusion

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.
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https://hal.inria.fr/inria-00544277
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  • HAL Id : inria-00544277, version 1

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Christopher Sutton, Emmanuel Vincent, Mark Plumbley, Juan Bello. Transcription of vocal melodies using voice characteristics and algorithm fusion. 2006. ⟨inria-00544277⟩

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