speech enhancement method based on minimum mean square error. This method is very typical in noise reduction. Many algorithms are derived from this method. You may take it as a learning example.

speechAbsenceDenoise
....................\denoise
....................\.......\absencecrux.m
....................\.......\dynamicabsencecrux.m
....................\.......\dynamicdenoise.m
....................\.......\ei.m
....................\.......\emestimator1985.m
....................\.......\firstlambdaD.m
....................\.......\firstnoiselimits.m
....................\.......\loadaudio.m
....................\.......\p.m
....................\.......\playaudio.m
....................\.......\README.wri
....................\.......\staticdenoise.m
....................\.......\windowfit.m
....................\fa.wav
....................\ma.wav
....................\README.wri
....................\todo
....................\....\componentdenoise.m
....................\....\README.wri
....................\utils
....................\.....\Add_Noise.m
....................\.....\combine.m
....................\.....\ei.m
....................\.....\emestimator1985.m
....................\.....\energy.m
....................\.....\estimationviewalg.m
....................\.....\estimationviewalg3.m
....................\.....\fa.wav
....................\.....\fourierview.m
....................\.....\frameview.m
....................\.....\loadaudio.m
....................\.....\Load_Signal.m
....................\.....\ma.wav
....................\.....\p.m
....................\.....\README.txt
....................\.....\SNR_check.m
....................\.....\yarmal.m

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