I want to apply a voice noise reduction program similar to the one below to my own 1D signal, but I found that after noise reduction, the 1D signal becomes thicker and the points at both ends of the signal become divergent, and I can’t find the cause of this phenomenon and how to fix it. Hope to get your help. Have a great day!
the program is that:
Dereverberate Speech Using Deep Learning Networks – MATLAB & Simulink – MathWorks 中国
my result is as follow:

the red is clean signal, the yellow is signal with noise, and the green is signal after denoisng.I want to apply a voice noise reduction program similar to the one below to my own 1D signal, but I found that after noise reduction, the 1D signal becomes thicker and the points at both ends of the signal become divergent, and I can’t find the cause of this phenomenon and how to fix it. Hope to get your help. Have a great day!
the program is that:
Dereverberate Speech Using Deep Learning Networks – MATLAB & Simulink – MathWorks 中国
my result is as follow:

the red is clean signal, the yellow is signal with noise, and the green is signal after denoisng. I want to apply a voice noise reduction program similar to the one below to my own 1D signal, but I found that after noise reduction, the 1D signal becomes thicker and the points at both ends of the signal become divergent, and I can’t find the cause of this phenomenon and how to fix it. Hope to get your help. Have a great day!
the program is that:
Dereverberate Speech Using Deep Learning Networks – MATLAB & Simulink – MathWorks 中国
my result is as follow:

the red is clean signal, the yellow is signal with noise, and the green is signal after denoisng. neural network, audio, cnn, signal denoise MATLAB Answers — New Questions

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