Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation
نویسندگان
چکیده
منابع مشابه
Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation
Many speech dereverberation techniques require an estimate of the late reverberation power spectral density (PSD). State-of-the-art multi-channel methods for estimating the late reverberation PSD typically rely on 1) an estimate of the relative transfer functions (RTFs) of the target signal, 2) a model for the spatial coherence matrix of the late reverberation, and 3) an estimate of the reverbe...
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Many multi-channel dereverberation and noise reduction techniques such as the multi-channel Wiener filter (MWF) require an estimate of the late reverberation and noise power spectral densities (PSDs). State-of-the-art multi-channel methods for estimating the late reverberation PSD typically assume that the noise PSD matrix is known. Instead of assuming that the noise PSD matrix is known, in thi...
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The echo effect due to late reverberation can severely degrade speech quality and intelligibility. Prior attempts to reduce this degradation in the modulation domain used time-invariant filtering. In this paper, we show that performing minimum mean squared error spectral estimation in the modulation domain (MDMMSE) can significantly reduce the severity of audible reverberation and enhance the l...
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اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Audio, Speech, and Language Processing
سال: 2018
ISSN: 2329-9290,2329-9304
DOI: 10.1109/taslp.2018.2811184