Predicting fundamental frequency from mel-frequency cepstral coefficients to enable speech reconstruction. Experiment results of testing samples from 3 subjects show that acceptable performances of cough recognition are obtained by DTW with a small training set. The process of cough recognition based on mel frequency cepstral coefficients (MFCC) and DTW is introduced. In this paper, according to the advantage of dynamic time warping (DTW) and the characteristic of cough recognition, an attempt is made to adapt DTW as the recognition algorithm for cough recognition. Cough Recognition Based on Mel Frequency Cepstral Coefficients and Dynamic Time WarpingĬough recognition provides important clinical information for the treatment of many respiratory diseases, but the assessment of cough frequency over a long period of time remains unsatisfied for either clinical or research purpose.
