کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4973638 1365496 2018 12 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Dempster-Shafer theory for enhanced statistical model-based voice activity detection☆
ترجمه فارسی عنوان
تئوری دمپستر-شفر برای افزایش فعالیت تشخیص صدا مبتنی بر مدل آماری ؟؟؟؟
کلمات کلیدی
تئوری دمپستر-شافر؛ تشخیص فعالیت صوتی؛ آزمون نسبت احتمال؛
Dempster-Shafer theory; Voice activity detection; Likelihood ratio test;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی

•We develop the voice activity detection based on DS theory.•Three statistical model-based VADs are used as the baseline systems.•Probabilities from the three VADs are combined to DS theory.•Proposed system works well over the existing methods.

In this paper, we propose to combine the posterior probabilities of voice activity derived from different statistical model-based algorithms for enhanced voice activity detection. For this, the Dempster-Shafer (DS) theory of evidence is employed to represent and combine the different probabilities estimated by three different statistical model-based VAD algorithms including the Sohn’s likelihood ratio test (LRT)-based method, smoothed LRT-based method, and multiple observation LRT-based method. By considering a generalization of the Bayesian framework and permitting the characterization of uncertainty and ignorance through the DS theory, the probability of an ignorant state is eliminated through the orthogonal sum of several speech presence probabilities, which results in the performance improvement when detecting voice activity. According to objective test results, it is discovered the proposed DS theory-based VAD method offers significant improvements over the conventional approaches.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Speech & Language - Volume 47, January 2018, Pages 47-58
نویسندگان
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