• DocumentCode
    780055
  • Title

    Separation of Singing Voice From Music Accompaniment for Monaural Recordings

  • Author

    Li, Yipeng ; Wang, DeLiang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
  • Volume
    15
  • Issue
    4
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    1475
  • Lastpage
    1487
  • Abstract
    Separating singing voice from music accompaniment is very useful in many applications, such as lyrics recognition and alignment, singer identification, and music information retrieval. Although speech separation has been extensively studied for decades, singing voice separation has been little investigated. We propose a system to separate singing voice from music accompaniment for monaural recordings. Our system consists of three stages. The singing voice detection stage partitions and classifies an input into vocal and nonvocal portions. For vocal portions, the predominant pitch detection stage detects the pitch of the singing voice and then the separation stage uses the detected pitch to group the time-frequency segments of the singing voice. Quantitative results show that the system performs the separation task successfully
  • Keywords
    audio recording; music; speech processing; speech recognition; lyrics recognition; monaural recordings; music accompaniment; music information retrieval; predominant pitch detection; singer identification; singing voice detection; singing voice separation; time-frequency segments; Auditory system; Automatic speech recognition; Cognitive science; Computer science; Humans; Instruments; Laboratories; Music information retrieval; Speech recognition; Time frequency analysis; Predominant pitch detection; singing voice detection; sound separation;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2006.889789
  • Filename
    4156205