Combining adaptive beamforming and post-filtering for speech enhancement

Autor:	Ming-Tang Lee, 李明唐
Rok vydání:	2008
Druh dokumentu:	學位論文 ; thesis
Popis:	96 An approach combined adaptive spatial filtering and post-filtering for speech enhancement is proposed in this thesis. Using the spatial information of microphone array signals, we purify the speech in the sound source direction by applying spatial filtering. For the spatial filter, we choose Dahl’s beamformer due to it’s relatively better performance. To further purify the speech, we use sigle-channel speech enhancement methods for post-filtering. Post-filtering mainly contains noise estimation and gain function parts. We will use long-term voice activity detection (LTVAD) and minima controlled recursive averaging (MCRA) for noise estimation respectively, cooperating with gain functions computed by spectral subtraction (SS) and log-spectral amplitude (LSA) algorithms. And we will compare the purification results under musical noise and noise from freeway.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://ndltd.ncl.edu.tw/handle/39739386578563896613 Zobrazit plný text záznamu