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Whitening algorithm in order to SNR improvement in Ego-noise removal

عنوان مقاله: Whitening algorithm in order to SNR improvement in Ego-noise removal
شناسه ملی مقاله: ISAV09_007
منتشر شده در نهمین کنفرانس بین المللی آکوستیک و ارتعاشات در سال 1398
مشخصات نویسندگان مقاله:

Ali Gharamohammadi - PhD student, Electrical engineering, Sharif university, Enghelab avenue, Tehran, Iran.
Mohammad Taghi Mehrabani - PhD, Mechanical engineering, Ava Sanjesh Aras, Inc., Enghelab avenue, ۱۴۵۸۸۸۸۴۸۱,Tehran, Iran.
Abouzar Abbasi - MsC, Mechanical engineering, Ava Sanjesh Aras, Inc., Enghelab avenue, ۱۴۵۸۸۸۸۴۸۱,Tehran, Iran.

خلاصه مقاله:
In this paper, in order to remove motor harmonics from speech signals, a hybrid algorithm consists of a whitening method and infinite impulse response (IIR) filter is proposed. The combination of these methods results better harmonic suppression than alone filter. In spite of the fact that the output of the whitening is very similar to input, it should make the covariance matrix unit diagonal. The results shows that signal to noise (SNR) is improved by 1.9 dB.

کلمات کلیدی:
Harmonic suppression; Whitening; IIR adaptive filter.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/976055/