Applying a window function to a speech signal

1. Why do we need to apply windowing function to a speech signal?
2. What is window function in signal?
3. Which is the best window for speech signal processing?
4. Why Hamming window is used in speech processing?
5. What is window function in FFT?

Why do we need to apply windowing function to a speech signal?

Windowing causes undesirable spreading of frequency components into nearby frequencies and by choosing the windowing function, we can choose how much and how far such a components are spread. In difference to classical signal analysis, speech processing applications have a range of additional requirements.

What is window function in signal?

In signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval, normally symmetric around the middle of the interval, usually near a maximum in the middle, and usually tapering away from ...

Which is the best window for speech signal processing?

The results of the subjective experiment show that the analysis window duration of 15-35 ms is the optimum choice when speech is reconstructed from the short-time magnitude spectrum.

Why Hamming window is used in speech processing?

With what I know about sound and quick research, it appears that Hamming Window is here to minimize the signal side lobe (unwanted radiation). Thus improving the quality or harmonics of the sound.

What is window function in FFT?

A window function provides a weighted selection of a portion of a time waveform for fast Fourier transform (FFT) analysis. It is generated by multiplying the original time waveform by a user-defined window function of some width. In this case, width equals two times the number of analysis lines.