SÓYLEW SIGNALLARINDAǴI SHAWQIMDI JOQ ETIWDE AYNALAW USILLARIN PAYDALANIW

Avtorlar

  • Mamatov N.S.

    “Tashkent irrigatsiya hám awıl xojalıǵın mexanizatsiyalaw injenerleri institutı” Milliy izertlew universiteti

  • Jalelov K.M.

    “Tashkent irrigatsiya hám awıl xojalıǵın mexanizatsiyalaw injenerleri institutı” Milliy izertlew universiteti

  • Samijonov B.N.

    Senjong Universiteti, Qubla Koreya

  • Samijonov A.N.

    Muhammed al-Xorezmiy atindaǵı Tashkent axborot texnologiyaları universiteti

  • Madaminjonov A.D.

    Namangan mámleketlik universiteti

Gilt sózler: FIR filters, Rectangular, Hanning, Hamming, Blackman, Kaiser, windows, fundamental signal, noisy signal, denoising

Annotaciya

The effectiveness of various mirror functions is investigated for denoising speech signals. Denoising can significantly affect performance when choosing a window function, and windowing methods can improve denoising quality when used correctly. This research compares the performance of various window functions, namely Rectangular, Hanning, Hamming, Blackman, and Kaiser windows using Mean Squared Error (MSE) and Signal-to-Noise Ratio (SNR) metrics.

Paydalanılǵan ádebiyatlar

1. Radhika Bhagat, Ramandeep Kaur, ―Improved Audio Filtering Using Extended High Pass Filters‖,2013

2. Er. Mannu Singla, Er. Harpal Singh, ―Review Paper on Frequency Based Audio Noise Reduction Using Different Filters‖, Inter- national Journal of Science, 2015.

3. Er Mannu Singla, Er Harpal Singh, ―Paper on frequency based audio noise reduction using Butterworth, Chebyshev and Ellipti- cal filters‖, International Journal of Science, 2015.

4. Priya Khattar1, Dr. Amrita Rai2, Mr. Subodh Tripathi, ―Audio Denoising using Wavelet Transform‖, 2016

5. Yanxin Wei, Xiujuan Fan, De-noising the Speech Signal With FIR Filter Based on Matlab. 4th International Conference on Elec- trical & Electronics Engineering and Computer Science (ICEEECS 2016)