Noise post processing based on a stationary noise generator

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

doi:10.1109/SCW.2002.1215764

Noise post processing based on a stationary noise generator

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	178-180
Number of pages	3
ISBN (Print)	0780375491, 9780780375499
DOIs	https://doi.org/10.1109/SCW.2002.1215764
Publication status	Published - 2002
Externally published	Yes
Event	IEEE Speech Coding Workshop, SCW 2002 - Tsukuba City, Ibaraki, Japan Duration: 2002 Oct 6 → 2002 Oct 9

Other

Other	IEEE Speech Coding Workshop, SCW 2002
Country/Territory	Japan
City	Tsukuba City, Ibaraki
Period	02/10/6 → 02/10/9

ASJC Scopus subject areas

Linguistics and Language
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software
Language and Linguistics

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10.1109/SCW.2002.1215764

Cite this

Noise post processing based on a stationary noise generator. / Ehara, H.; Yasunaga, K.; Hiwasaki, Y. et al.
2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2002. p. 178-180 1215764.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ehara, H, Yasunaga, K, Hiwasaki, Y & Mano, K 2002, Noise post processing based on a stationary noise generator. in 2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings., 1215764, Institute of Electrical and Electronics Engineers Inc., pp. 178-180, IEEE Speech Coding Workshop, SCW 2002, Tsukuba City, Ibaraki, Japan, 02/10/6. https://doi.org/10.1109/SCW.2002.1215764

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abstract = "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.",

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year = "2002",

doi = "10.1109/SCW.2002.1215764",

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note = "IEEE Speech Coding Workshop, SCW 2002 ; Conference date: 06-10-2002 Through 09-10-2002",

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N2 - 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.

AB - 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.

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Noise post processing based on a stationary noise generator

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