Minimum-variance phase prediction and frame interpolation algorithms for low bit rate sinusoidal speech coding

Sassan Ahmadi, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A number of improved algorithms for phase prediction and frame interpolation in the context of sinusoidal speech coding are presented. A minimum-variance sinusoidal phase estimation scheme is proposed. It is shown that reasonably accurate estimates for short-time sinusoidal phases corresponding to voiced frames can be obtained. In addition, improved algorithms for interpolation of sine wave parameters are presented which result in further reduction in bit rate while preserving the subjective quality of the reproduced speech at low bit rates. The performance of the proposed algorithms were evaluated on a large speech database and the results of statistical analysis are provided. The proposed algorithms were successfully integrated into a 2.4 kbps sinusoidal coder, where speech of good quality, intelligibility, and naturalness was obtained.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Volume3
StatePublished - 2000
Externally publishedYes
EventProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz
Duration: May 29 2000May 31 2000

Other

OtherProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems
CityGeneva, Switz
Period5/29/005/31/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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