Analysis/synthesis of speech signals based on AbS/OLA sinusoidal modeling using elliptic filter

Kihong Kim, Jinkeun Hong, Jongin Lim

Research output: Contribution to journalConference articlepeer-review


The analysis-by-synthesis/overlap-add (AbS/OLA) sinusoidal model has been applied to a broad range of speech and audio signal processing, such as coding, analysis and synthesis, fundamental frequency modification, time and frequency scale modification. This model uses an iterative analysis-by-synthesis procedure to estimate the sinusoidal parameters {amplitudes, frequencies, and phases}. However, one drawback of this model is that the analysis frame length is generally fixed in analyzing the signal. As a result, since each sinusoidal parameter has different frequencies, an analysis frame with fixed length cannot an optimal spectral resolution to each sinusoidal parameter. In this paper, in order to overcome this drawback and to estimate sinusoidal parameter more accurately, an AbS/OLA sinusoidal model using an elliptic filter is presented and evaluated against the performance of conventional AbS/OLA sinusoidal model. Our proposed AbS/OLA sinusoidal model is found to achieve better performance, in terms of spectral characteristics, phase characteristics, and the synthetic speech quality, than conventional model.

Original languageEnglish
Pages (from-to)141-148
Number of pages8
JournalLecture Notes in Computer Science
Publication statusPublished - 2005
Event6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005 - Brisbane, Australia
Duration: 2005 Jul 62005 Jul 8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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