A new phase model for sinusoidal transform coding of speech

Sassan Ahmadi, Andreas Spanias

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


A phase modeling algorithm for sinusoidal analysis-synthesis of speech is presented, where short-time sinusoidal phases are approximated using a combination of linear prediction, spectral sampling, delay compensation, and phase correction techniques. The algorithm is different than phase compensation methods proposed for source-system LPC in that it has been tailored to sinusoidal representation of speech. Performance analysis on a large speech data base reveals improvement in temporal and spectral signal matching, as well as in the subjective quality of reconstructed speech. The method can be applied to enhance phase matching in low bit rate sinusoidal coders, where underlying sine wave amplitudes are extracted from an all-pole model. Preliminary subjective results are presented for a 2.4 kb/s sinusoidal coder.

Original languageEnglish (US)
Pages (from-to)495-501
Number of pages7
JournalIEEE Transactions on Speech and Audio Processing
Issue number5
StatePublished - 1998


  • Linear prediction
  • Linear predictive coding
  • Phase modeling
  • Sinusoidal representation
  • Speech coding

ASJC Scopus subject areas

  • Software
  • Acoustics and Ultrasonics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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