کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6864805 1439552 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effective Kalman filtering algorithm for distributed multichannel speech enhancement
ترجمه فارسی عنوان
الگوریتم فیلترینگ کلمن برای تقویت گفتار چند کاناله توزیع شده
کلمات کلیدی
کاهش نویز رنگی، فیلتر کالمن، تقویت گفتار چند کاناله، دامنه زمان،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Kalman filtering is known as an effective speech enhancement technique. Many Kalman filtering algorithms for single channel speech enhancement were developed in past decades. However, the Kalman filtering algorithm for multichannel speech enhancement is very less. This paper proposes a Kalman filtering algorithm for distributed multichannel speech enhancement in the time domain under colored noise environment. Compared with conventional algorithms for distributed multichannel speech enhancement, the proposed algorithm has lower computational complexity and requires less computational resources. Simulation results show that the proposed algorithm is superior to the conventional algorithms for distributed multichannel speech enhancement in achieving higher noise reduction, less signal distortion and more speech intelligibility. Moreover, the proposed algorithm has a faster speed than several multichannel speech enhancement algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 275, 31 January 2018, Pages 144-154
نویسندگان
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