5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Performance And Optimization Of The SEEVOC Algorithm

Weihua Zhang (1), W. Harvey Holmes (2)

(1) ioWave, Inc., USA
(2) The University of New South Wales, School of Electrical Engineering, Australia

The Spectral Envelope Estimation Vocoder (SEEVOC) is a successful spectral envelope estimation method that plays an important role in low bit rate speech coding based on the sinusoidal model. This paper investigates the properties and limitations of the SEEVOC algorithm, and shows that the required accuracy for the initial pitch estimate is greater than commonly supposed. It also generalizes and optimizes the SEEVOC algorithm by choice of the search range parameters a and b. Rules for the optimum choice of a and b are derived, based on both theoretical analysis and experimental results. The effects of noise on the SEEVOC algorithm are also investigated. Experimental results show that the SEEVOC algorithm performs better for voiced speech in the presence of noise than linear prediction (LP) analysis.

Full Paper

Bibliographic reference.  Zhang, Weihua / Holmes, W. Harvey (1998): "Performance and optimization of the SEEVOC algorithm", In ICSLP-1998, paper 1128.