Noise post processing based on a stationary noise generator

H. Ehara, K. Yasunaga, Y. Hiwasaki, Kazunori Mano

研究成果: Conference contribution

1 被引用数 (Scopus)


The paper presents a newly developed noise post-processing (NPP) algorithm for improving subjective performance of low bit-rate code excited linear prediction (CELP) decoding. The algorithm is based on a stationary noise generator and improves subjective quality of a noisy signal input. A backward adaptive detector defines noisy input signal segments from decoded line spectral frequency (LSF), energy, and pitch parameters. By using LSF and energy parameters from the past, the noise generator estimates and produces stationary noise. The algorithm is independent of the main codec algorithm and is applicable to any CELP decoder. When applied to G.729 and G.723.1, our test results show that the algorithm improves subjective performance at around 0.2-0.8 in degradation category rating (DCR) mean opinion score (DMOS) under several background noise conditions.

ホスト出版物のタイトル2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)0780375491, 9780780375499
出版ステータスPublished - 2002
イベントIEEE Speech Coding Workshop, SCW 2002 - Tsukuba City, Ibaraki, Japan
継続期間: 2002 10月 62002 10月 9


OtherIEEE Speech Coding Workshop, SCW 2002
CityTsukuba City, Ibaraki

ASJC Scopus subject areas

  • 言語学および言語
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用
  • ソフトウェア
  • 言語および言語学


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