Bark-band residual noise model for parametric audio coding

Jing Wang*, Yan Wei Jin, Sheng Hui Zhao, Jing Ming Kuang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A Bark-band residual noise model integrated with the human hearing mechanism is proposed to efficiently complement sinusoidal model in parametric audio coding. The time-varying spectrum of the residual noise is retrieved by Bark-scale piecewise constant magnitude estimates along with random phases. In the proposed noise model, Bark bands information is obtained by short-time FFT method and window overlap-add technique is exploited to remove boundary discontinuities. SVQ is also incorporated into parameter quantization process for the low bit-rate coding demand. Simulation results and informal listening tests show that when the sinusoidal model is combined with the Bark-band noise model, better synthesis audio quality can be achieved compared with the original sinusoidal modeling audio codec.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalJournal of Beijing Institute of Technology (English Edition)
Volume13
Issue numberSUPPL.
Publication statusPublished - Dec 2004

Keywords

  • Bark band
  • Equivalent rectangular band (ERB)
  • Parametric audio coding
  • Residual noise model
  • Sinusoidal model
  • Split vector quantization (SVQ)

Fingerprint

Dive into the research topics of 'Bark-band residual noise model for parametric audio coding'. Together they form a unique fingerprint.

Cite this