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A noise spectral estimation method based on VAD and recursive　averaging using new adaptive parameters for non-stationary noise environments

フォーマット:
論文
責任表示:
Nakayama, Kenji ; Higashi, Shoya ; Hirano, Akihiro
言語:
英語
出版情報:
IEEE = Institute of Electrical and Electronics Engineers, 2009-02-01
著者名:
掲載情報:
2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
開始ページ:
184187
バージョン:
publisher
概要:
金沢大学理工研究域　電子情報学系<br />A noise spectral estimation method, which is used in spectral suppression noise cancellers, is proposed for highly non-stationary noise environments. Speech and non-speech frames are detected by using the entropy … -based voice activity detector (VAD). An adaptive normalization parameter and a variable threshold are newly introduced for the VAD. They are very useful for rapid change in the noise spectrum and power. Furthermore, a recursive averaging method is applied to estimating the noise spectrum in the non-speech frames. In this method, an adaptive smoothing parameter is proposed, based on speech presence probability. Simulations are carried out by using many kinds of noises, including white, babble, car, pink, factory and tank, which are changed from one to the other. The segmental SNR is improved by 2.0 ~3.8dB, and noise spectral estimation error is improved by 3.2 ~ 4.7dB for the white noise and the babble noise, which are changed from one to the other. 続きを見る
URL:
http://hdl.handle.net/2297/18069
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