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  1. B. 理工学域; 数物科学類・物質化学類・機械工学類・フロンティア工学類・電子情報通信学類・地球社会基盤学類・生命理工学類
  2. b 10. 学術雑誌掲載論文
  3. 1.査読済論文(工)

Improved methods for noise spectral estimation and adaptive spectral gain control in noise spectral suppressor

http://hdl.handle.net/2297/18080
http://hdl.handle.net/2297/18080
2604de1f-7ded-4a98-baa5-33444f0b63f4
名前 / ファイル ライセンス アクション
TE-PR-NAKAYAMA-K-16.pdf TE-PR-NAKAYAMA-K-16.pdf (1.1 MB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2017-10-03
タイトル
タイトル Improved methods for noise spectral estimation and adaptive spectral gain control in noise spectral suppressor
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Nakayama, Kenji

× Nakayama, Kenji

WEKO 353
e-Rad 00207945
研究者番号 00207945

Nakayama, Kenji

ja-Kana ナカヤマ, ケンジ

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Suzuki, H.

× Suzuki, H.

WEKO 11479

Suzuki, H.

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Hirano, Akihiro

× Hirano, Akihiro

WEKO 377
金沢大学研究者情報 70303261
研究者番号 70303261

Hirano, Akihiro

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提供者所属
内容記述タイプ Other
内容記述 金沢大学理工研究域 電子情報学系
書誌情報 2007 International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2007 - Proceedings, , Xiamen, China

巻 2007, p. 16-19, 発行日 2007-12-01
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1109/ISPACS.2007.4445812
出版者
出版者 IEEE = Institute of Electrical and Electronics Engineers
抄録
内容記述タイプ Abstract
内容記述 In this paper, new approaches to noise spectrum estimation and spectral gain control are proposed for noise spectral suppressors. First, the speech absent frames are detected by using spectral entropy. In the speech absent frames, a weighting factor used in estimating the noise spectrum is modified so as to emphasize effect of the noisy speech signal. Next, a spectral gain is more reduced by multiplying a factor in order to suppress effects of the noise in the speech absent frames. Furthermore, in the speech present frames, in order to reduce signal distortion, the spectral gain is controlled to be unity based on an SNR calculated by using a ridgeline spectrum. Finally, the original noisy speech is added to the estimated speech in some ratio. This ratio is controlled by the long term averaged SNR of the estimated noise and the noisy speech. Computer simulations by using speech signals, the white noise, the car noise and the bubble noise, which are available in public, have been carried out for the conventional methods and the proposed method. The proposed method can improve a segmental SNR and speech quality compared to the conventional methods. Especially, it is useful for the bubble noise. ©2007 IEEE.
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
シリーズ
関連名称 4445812
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