• DocumentCode
    3164040
  • Title

    Template-based personalized singing voice synthesis

  • Author

    Cen, Ling ; Dong, Minghui ; Chan, Paul

  • Author_Institution
    Inst. for Infocomm Res. (I2R), A*STAR, Singapore, Singapore
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    4509
  • Lastpage
    4512
  • Abstract
    In this paper, a template-based personalized singing voice synthesis method is proposed. It generates singing voices by means of conversion from the narrated lyrics of a song with the use of template recordings. The template voices are parallel speaking and singing voices recorded from professional singers, which are used to derive the transformation models for acoustic feature conversion. When converting a new instance of speech, its acoustic features are modified to approximate those of the actual singing voice based on the transformation models. Since the pitch contour of the synthesized singing is derived from an actual singing voice, it is more natural than modifying a step contour to implement pitch fluctuations such as overshoot and vibrato. It has been shown from the subjective tests that nearly natural singing quality with the preservation of the timbre can be achieved with the help of our method.
  • Keywords
    acoustic signal processing; speech synthesis; acoustic feature conversion; acoustic features; natural singing quality; parallel speaking; pitch contour; pitch fluctuations; professional singers; singing voices; song narrated lyrics; synthesized singing; template recordings; template voices; template-based personalized singing voice synthesis; timbre preservation; transformation models; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Timbre; Singing voice synthesis; alignment; music score; pitch; spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288920
  • Filename
    6288920