A novel scalable audio coder based on warped linear prediction and the wavelet transform

Mohamed Deriche*, Daryl Ning

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper presents a novel bitstream scalable audio coder. In the proposed coder, the full bandwidth of input audio is first split into two. A hybrid WLPC-wavelet representation is used to encode the low frequency components (< 11 kHz). In this method, the excitation to the WLPC synthesis filter is decomposed into subbands using a wavelet filterbank, and perceptually encoded. Two stage quantisation of the wavelet coefficients is used to provide scalability. The high frequency components of the input are assumed to be noisy, and efficiently encoded using an LPC noise model. The output bitstream can be decoded at rates between 16 kbps and 70 kbps. As the bitrate increases, so too does the signal quality. At 70 kbps, the quality is near transparent. At the intermediate rates, the coder gives comparable performance to the MPEG layer III coder, when the MPEG coder operates at a similar (but fixed) bitrate.

Original languageEnglish
Title of host publication2006 IEEE GCC Conference, GCC 2006
DOIs
StatePublished - 2006

Publication series

Name2006 IEEE GCC Conference, GCC 2006

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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