دانلود مقاله ISI انگلیسی شماره 124419
ترجمه فارسی عنوان مقاله

تخمین مدل مبتنی بر مدل واریانس طیفی اواخر بازخورد با استفاده از روش خطای پیش بینی شده با استفاده از اصلاح شده

عنوان انگلیسی
Model-based estimation of late reverberant spectral variance using modified weighted prediction error method
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
124419 2017 19 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Speech Communication, Volume 92, September 2017, Pages 100-113

پیش نمایش مقاله
پیش نمایش مقاله  تخمین مدل مبتنی بر مدل واریانس طیفی اواخر بازخورد با استفاده از روش خطای پیش بینی شده با استفاده از اصلاح شده

چکیده انگلیسی

In this paper, we propose a new approach to estimate the late reverberant spectral variance (LRSV) for speech dereverberation in the short-time Fourier transform (STFT) domain. Our approach uses a model-based scheme involving the estimation of a smoothing (shape) parameter and the reverberant-only component of speech. We propose to obtain the shape parameter by using estimates of the spectral variances of the direct-path and reverberant-only components of the speech, which in turn, can be calculated by smoothing coarse estimates of these two components. Furthermore, an accurate estimate of the reverberant-only component is obtained by means of a moving average scheme. In order to obtain the preliminary estimates of the direct-path and reverberant speech components, we employ a modified version of the weighted prediction error (WPE) method. In contrast to the original WPE method, the suggested modification is implemented for shorter processing blocks, each consisting of a number of STFT frames. This block-wise procedure allows for adaptation to moderate changes in environment and makes the proposed approach also suitable for time-varying acoustic scenarios. Performance evaluations with respect to previous LRSV estimation methods demonstrate the superiority of the proposed approach in both time-invariant and time-variant reverberant environments.