دراسة تأثير معاملات خوارزمية الطرح الطيفي المعدَلة وطول النافذة الزمنية في تحسين الإشارات الصوتية
Abstract
إن إلغاء الضجيج من الكلام الملوث هو حقل هندسي يدرس التقنيات المستخدمة لاستعادة الإشارة الأصلية من الإشارة الملوثة بأنواع مختلفة من الضجيج مثل الضجيج عريض الحزمة وضيق الحزمة وأنواع أخرى موجودة بالبيئة وتعتبر تقنية الطرح الطيفي الأبرز في هذا المجال. في هذا البحث سوف نناقش تأثير معاملات خوارزمية الطرح الطيفي المعدلة وطول النافذة الزمنية في تحسين الكلام الملوث بالضجيج عريض الحزمة. تمَ دراسة وتحديد قيم المعاملات المثالية وطول النافذة المثالي عند قيم مختلفة لنسبة الإشارة إلى الضجيج SNR للإشارة الملوثة وهي وتمَ مناقشة 18 حالة عند كل قيمة. أجريت المحاكاة باستخدام برنامج الماتلاب(matlab) وتمت مقارنة النتائج سماعياً وبالاعتماد على تحسين قيمة SNR لكل حالة. Speech denoising is a field of engineering that studies techniques used to recover the original signal from the noisy signal corrupted with different types of noise, such as broadband noise and narrowband noise, and other types present in environment, but the spectral subtraction technique consider the most prominent in this area . In this search we will discuss the parameters impact of the modified spectral subtraction algorithm and the time window length in the enhancement of speech that corrupted with broadband noise. We done the study and determine the ideal parameters values and the ideal window length with different values for the signal -to-noise ratio SNR for noisy speech and we discuss 18 case for each value. We done the simulation using MATLAB software and the results were compared based on improving the value of SNR for each case .Downloads
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