I have a requirement and a theoretical implementation, but I'm not sure it's right. A person a, input a voice through the microphone, through the short-time Fourier transform, will generate a sample frequency, through deep learning can analyze the characteristics of this person's speech frequency fa

A person B, input a voice through the microphone, also through the short-time Fourier transform, generate a sample frequency, also through deep learning to analyze the person's characteristic frequency Fb.

Since the Fourier frequency domain is composed of several sine or cosine functions, I remove the speaking frequency Fb of B from the frequency domain of B, and then combine it with the Fa frequency of a, so as to achieve the effect of B imitating the sound of A.

Use the library or internet to research each planet. make a chart comparing the following: approximate surface temperature relative surface gravity compared to earth atmospheric gases water in any form: solid, gas, or liquid when you have completed your chart, use the information you have collected to answer the following questions: which is the hottest planet? which is the coldest planet? which planet's temperature is closest to that of earth? (note: water boils at 100°c/212°f. water freezes at 0°c/32°f) which planet has the greatest gravitational attraction? which planet has the least gravitational attraction? which planet's gravitational pull is closest to that of earth? do any of the planets have oxygen in their atmosphere? which planet's atmosphere most resembles that of earth? do any of the planets have flowing water? which planet's water resources (solid, gas, or liquid) might be close to the amount on earth? which planet most resembles earth in terms of all of the factors: temperature, gravity, atmosphere, and water? if earth became an uninhabitable planet, which planet do you think would be the next best to live on? explain your answer.