ارتقاء روش تفریق طیفی موجک با استفاده از آنالیز LPC جهت غنی‌سازی سیگنال‌های صوتی
محورهای موضوعی : مهندسی برق و کامپیوترمصطفی حیدری 1 , احسان نادرنژاد 2 , محمدرضا کرمی ملایی 3
1 - دانشگاه مازندران
2 - دانشگاه مازندران
3 - دانشگاه مازندران
کلید واژه: آناليز LPCتبديل موجكتفريق طيفيغني‌سازي سيگنال صوتينويز,
چکیده مقاله :
در این مقاله، روشي جدید برای غنی‌سازی سیگنال‌های صوتی ارائه شده است. در این روش که مبتنی بر روش تفریق طیفی موجك می‌باشند، از ضرایب پیش‌گویی خطی (LPC) برای تخمین و استخراج نویز استفاده شده است. سپس به مقایسه روش پیشنهادی با روش تفريق طيفي موجك پرداخته‌ایم و مشاهده شده است که روش پیشنهادی به میزان چشم‌گیری، نسبت سیگنال به نویز در سیگنال‌های صوتی آغشته به نویز را در مقایسه با روش تفريق طيفي موجك، بهبود بخشیده است. ضمن اينكه از نظر تست شنوايي نيز وضع به‌همين گونه بوده است.
In this paper, we proposed a new method for speech enhancement. The method is based on wavelet spectral subtraction. We use linear predictive coding (LPC) for noise estimation and extraction. The proposed method was compared with the wavelet spectral subtraction method. The new method increased signal to noise ratio of the noise contaminated speech signal more than wavelet spectral subtraction method. Also, good results have been achieved in auditory test (Mean Opinion Score).
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