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

Authors:
Kihong Kim;Jinkeun Hong;Jongin Lim
Affiliations:
Graduate School of Information Security, Korea University, Seoul, Korea;Division of Information & Communication, Cheonan University, Chungnam, Korea;Graduate School of Information Security, Korea University, Seoul, Korea
Venue:
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Year:
2005

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Abstract

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.