Transcription of vocal melodies using voice characteristics and algorithm fusion

نویسندگان

  • Christopher Sutton
  • Emmanuel Vincent
  • Mark D. Plumbley
  • Juan P. Bello
چکیده

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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تاریخ انتشار 2006