• DocumentCode
    1350292
  • Title

    Synthesis of sinusoids via non-overlapping inverse Fourier transform

  • Author

    Laroche, Jean

  • Author_Institution
    Joint Creative Emu Technol. Center, Scotts Vallwy, CA, USA
  • Volume
    8
  • Issue
    4
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    471
  • Lastpage
    477
  • Abstract
    Additive synthesis is a powerful tool for the analysis/modification/synthesis of complex audio or speech signals. However, the cost of wavetable sinusoidal synthesis can become prohibitive for large numbers of sinusoids (more than a few hundred). In that case, techniques based on the inverse Fourier transform offer an attractive alternative, being 200-300% more efficient than wavetable synthesis depending on the number of sinusoids. This paper presents an improved technique based on the concatenation of short-term signals obtained by inverse Fourier transforms. In contrast to the standard overlap-add technique, the new algorithm requires synthesizing sinusoids in the frequency domain whose time-domain amplitudes vary linearly within the synthesis frame. The technique is shown to achieve higher quality than the standard overlap-add technique, at the cost of a small increase in computation
  • Keywords
    Fourier transforms; audio signal processing; frequency-domain synthesis; inverse problems; speech synthesis; additive synthesis; audio signals; concatenation; frequency domain; nonoverlapping inverse Fourier transform; quality; short-term signals; sinusoids; speech signals; synthesis frame; time-domain amplitudes; Chirp modulation; Costs; Filters; Fourier transforms; Frequency domain analysis; Frequency synthesizers; Resonance; Signal synthesis; Speech analysis; Speech synthesis;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.848228
  • Filename
    848228