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.




File list:
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
...................\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
...................\fa.wav
...................\ma.wav
...................\README.wri