#detecting laughter using sound data . wheather the given input is laughter or not. usful for comedy shows and many more. i ma using sound data which is uploaded in this repository. step1 - making a dataset from label.txt file where it is mentioned wheather it is a normal file or laughter file. step2 - aftr getting the laughter files , detecting the particular seconds in laughter files of laughter step3 - diving laughter and non laughter files in seprate folders step4 - training with svm step5 - training with knn step6 - training with gmm step7- making non laughter files again with t_overlap 0.5,0.25.0.375 , now there are three non laugh folders step7 - sfs and sbs for knn and gmm step8 - getting the outputs in seprate folders step9 - saving those files for training the detector model