کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4973823 1451717 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Distributed particle filter based speaker tracking in distributed microphone networks under non-Gaussian noise environments
ترجمه فارسی عنوان
ردیابی بلندگو مبتنی بر فیلتر ذرات توزیع شده در شبکه های میکروفون توزیع شده تحت محیط نویز غیر غایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
Non-Gaussian noise distorts the speech signals and leads to the degradation of speaker tracking performance. In this paper, a distributed particle filter (DPF) based speaker tracking method in distributed microphone networks under non-Gaussian noise and reverberant environments is proposed. A generalized correntropy function is first presented to estimate the time differences of arrival (TDOA) for speech signals at each node in distributed microphone networks. Next, to address spurious TDOA estimations caused by noise and reverberation, a multiple-hypothesis likelihood model is introduced to calculate the local likelihood functions of the DPF. Finally, a DPF fusing local likelihood functions with an average consensus algorithm is employed to estimate a moving speaker's positions. The proposed method can accurately track the speaker under non-Gaussian noise and reverberant environments, and it is scalable and robust against the nodes failure in distributed networks. Simulation experiments show the validation of the proposed speaker tracking method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 63, April 2017, Pages 112-122
نویسندگان
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