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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/2297/180802604de1f-7ded-4a98-baa5-33444f0b63f4
名前 / ファイル | ライセンス | アクション |
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TE-PR-NAKAYAMA-K-16.pdf (1.1 MB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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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× Suzuki, H.× 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 |
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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 |