A processor implemented method of speech signal processing, comprising: collecting a speech signal from at least one user, as input, via one or more hardware processors; extracting a plurality of differential features from the speech signal to generate a feature file, via the one or more hardware processors, by: sampling the speech signal at a defined sampling rate to generate a plurality of sampled speech signals; splitting each of the plurality of sampled speech signals to a plurality of overlapping or non-overlapping frames of 20 milliseconds length; iteratively performing for each of the plurality of frames, for a pre-defined number of times: selecting one sample in every M samples of the speech signal in the frame, where M is 2; and calculating differences between adjacent samples of the frame as the differential feature to get an output frame of size ( L ―), where L is number of samples in a frame divided by M, and N represents number of times the difference between adjacent values is calculated; extracting a plurality of features from the plurality of differential features of the plurality of overlapping or non-overlapping frames, via the one or more hardware processors; comparing each of the plurality of features from the plurality of differential features with an emotion recognition model to identify at least one emotion corresponding to the speech signal, via the one or more hardware processors; and associating the identified at least one emotion with the speech signal, via the one or more hardware processors. collecting a speech signal from at least one user, as input, via one or more hardware processors; extracting a plurality of differential features from the speech signal to generate a feature file, via the one or more hardware processors, by: sampling the speech signal at a defined sampling rate to generate a plurality of sampled speech signals; splitting each of the plurality of sampled speech signals to a plurality of overlapping or non-overlapping frames of 20 milliseconds length; iteratively performing for each of the plurality of frames, for a pre-defined number of times: selecting one sample in every M samples of the speech signal in the frame, where M is 2; and calculating differences between adjacent samples of the frame as the differential feature to get an output frame of size ( L ―), where L is number of samples in a frame divided by M, and N represents number of times the difference between adjacent values is calculated; sampling the speech signal at a defined sampling rate to generate a plurality of sampled speech signals; splitting each of the plurality of sampled speech signals to a plurality of overlapping or non-overlapping frames of 20 milliseconds length; iteratively performing for each of the plurality of frames, for a pre-defined number of times: selecting one sample in every M samples of the speech signal in the frame, where M is 2; and calculating differences between adjacent samples of the frame as the differential feature to get an output frame of size ( L ―), where L is number of samples in a frame divided by M, and N represents number of times the difference between adjacent values is calculated; selecting one sample in every M samples of the speech signal in the frame, where M is 2; and calculating differences between adjacent samples of the frame as the differential feature to get an output frame of size ( L ―), where L is number of samples in a frame divided by M, and N represents number of times the difference between adjacent values is calculated; extracting a plurality of features from the plurality of differential features of the plurality of overlapping or non-overlapping frames, via the one or more hardware processors; comparing each of the plurality of features from the plurality of differential features with an emotion recognition model to identify at least one emotion corresponding to the speech signal, via the one or more hardware processors; and associating the identified at least one emotion with the speech signal, via the one or more hardware processors.