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Register a new userStudying the effect of modified spectral subtraction algorithm parameters and time window length in speech signals enhancement
دراسة تأثير معاملات خوارزمية الطرح الطيفي المعدَلة و طول النافذة الزمنية في تحسين الإشارات الصوتية
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Tishreen University ورقة بحثية
Publication date
2015
fields
Communication Engineering
and research's language is
العربية
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Shamra Editor
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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 و ضيق الحزمة و أنواع أخرى موجودة بالبيئة و تعتبر تقنية الطرح الطيفي الأبرز في هذا المجال. في هذا البحث سوف نناقش تأثير معاملات خوارزمية الطرح الطيفي المعدلة و طول النافذة الزمنية في تحسين الكلام الملوث بالضجيج عريض الحزمة. تمَ دراسة و تحديد قيم المعاملات المثالية و طول النافذة المثالي عند قيم مختلفة لنسبة الإشارة إلى الضجيج SNR للإشارة الملوثة و هي و تمَ مناقشة 18 حالة عند كل قيمة. أجريت المحاكاة باستخدام برنامج الماتلاب (matlab) و تمت مقارنة النتائج سماعياً و بالاعتماد 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 .
References used
Kaladharan,N.Speech Enhancement by Spectral Subtraction Method.International Journal of Computer Applications (0975 – 8887) Volume 96– No.13, June 2014
Verteletskaya,E;Simak,B.Noise Reduction Based on Modified Spectral Subtraction Method.IAENG International Journal of Computer Science,38:1, IJCS_38_1_10, February ,2011
Tiwari,N;Pandey,P.Speech Enhancement Using Noise Estimation Based on Dynamic Quantile Tracking for Hearing Impaired Listeners.Proc. 21th National Conference on Communications 2015 (NCC 2015), Mumbai, Feb. 27 - Mar. 1, 2015
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