کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6959515 | 1451960 | 2015 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks
ترجمه فارسی عنوان
روشهای پرتوهای کمینه-واریانس توزیع بهینه برای تقویت گفتار در شبکه های حسگر بی سیم بی سیم
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کلمات کلیدی
شبکه های سنسورهای صوتی بی سیم، تقویت گفتار توزیع، حداقل پرتو فریم واریانس،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
In multiple speaker scenarios, the linearly constrained minimum variance (LCMV) beamformer is a popular microphone array-based speech enhancement technique, as it allows minimizing the noise power while maintaining a set of desired responses towards different speakers. Here, we address the algorithmic challenges arising when applying the LCMV beamformer in wireless acoustic sensor networks (WASNs), which are a next-generation technology for audio acquisition and processing. We review three optimal distributed LCMV-based algorithms, which compute a network-wide LCMV beamformer output at each node without centralizing the microphone signals. Optimality here refers to equivalence to a centralized realization where a single processor has access to all signals. We derive and motivate the algorithms in an accessible top-down framework that reveals their underlying relations. We explain how their differences result from their different design criterion (node-specific versus common constraints sets), and their different priorities for communication bandwidth, computational power, and adaptivity. Furthermore, although originally proposed for a fully connected WASN, we also explain how to extend the reviewed algorithms to the case of a partially connected WASN, which is assumed to be pruned to a tree topology. Finally, we discuss the advantages and disadvantages of the various algorithms
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 107, February 2015, Pages 4-20
Journal: Signal Processing - Volume 107, February 2015, Pages 4-20
نویسندگان
Shmulik Markovich-Golan, Alexander Bertrand, Marc Moonen, Sharon Gannot,