Scalable variable rate CWI speech coding algorithm based on wavelet transform

Jing Wang*, Sheng Hui Zhao, Jing Ming Kuang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A scalable variable rate characteristic waveform interpolation (CWI) speech coding algorithm is proposed based on wavelet transform (WT). The 2-D characteristic waveform surface is decomposed into several spaces with different time-frequency resolution, which serves as the enhancement layers of scalable CWI coding scheme. The basic layer only contains linear prediction parameters, pitch cycle and power normalized factors. The scalable WT-CWI coder obtains variable bit rate. MUSHRA subjective listening test showed that with the coding rate increasing from 1.8 kbit/s to 3.6 kbit/s, the basic layer of the proposed scalable variable rate CWI coder outputs acceptable speech quality and the enhancement layers improved the speech quality in turn.

Original languageEnglish
Pages (from-to)531-535
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume28
Issue number6
Publication statusPublished - Jun 2008

Keywords

  • B-spline biorthogonal wavelet
  • Characteristic waveform interpolation (CWI)
  • Scalable variable rates wavelet transform (WT)

Fingerprint

Dive into the research topics of 'Scalable variable rate CWI speech coding algorithm based on wavelet transform'. Together they form a unique fingerprint.

Cite this