• DocumentCode
    2054561
  • Title

    Multi-pitch estimation of inharmonic signals

  • Author

    Nilsson, Tomas ; Adalbjornsson, Stefan Ingi ; Butt, N.R. ; Jakobsson, Andreas

  • Author_Institution
    Dept. of Math. Stat., Lund Univ., Lund, Sweden
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work presents a relaxation-based multi-pitch estimation technique for harmonic signals suffering from inharmonicity. Different from most earlier works, the proposed method does not require a priori knowledge of the number of sources present, nor of their respective number of harmonics, or the inharmonicity structure of the expected deviations. Using a recent group-sparse multi-pitch estimation method to form initial coarse pitch estimates, the number of sources and their harmonics are estimated using a BIC-based formulation, whereafter an iterative, relaxation-based, technique is formed to separately estimate the inharmonicity of each source using a recently proposed robust single-pitch estimation technique. The proposed algorithm is evaluated and compared to other existing methods using both simulated and real audio signals, clearly illustrating the improved performance.
  • Keywords
    audio signal processing; estimation theory; iterative methods; relaxation theory; speech processing; BIC-based formulation; group-sparse multi-pitch estimation method; inharmonic signals; inharmonicity structure; initial coarse pitch estimates; iterative technique; real audio signals; relaxation-based multi-pitch estimation technique; relaxation-based technique; single-pitch estimation technique; Estimation; Frequency estimation; Harmonic analysis; Robustness; Speech; Speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
  • Conference_Location
    Marrakech
  • Type

    conf

  • Filename
    6811481