The invention belongs to the technical field of biological 
feature recognition, and specifically provides a newborn 
crying sound recognizing method based on 
dynamic time warping. The method comprisesthe following steps: collecting newborn 
crying sounds under three conditions, and marking the newborn 
crying sounds as the crying sounds caused by hunger, the crying sounds caused by pain and the crying sounds caused by unknown reasons; carrying out preprocessing including downsampling, pre-emphasis, framing windowing, endpoint detection and the like on the crying sounds, and carrying out featureextraction on the preprocessed crying sound signals, namely, extracting the short-time energy, the fundamental 
tone frequency and the 0-12-level 
mel frequency cepstrum coefficient; carrying out one-way variance analysis on the feature parameters, and screening out the features with significant differences from the three types of crying sounds; selecting reference templates of three types by adopting the dynamitic time warping 
algorithm; and carrying out three two-class tasks, carrying out matching recognition by adopting the DTW 
algorithm, and calculating the recognition rate. For the method,the 
computation complexity is relatively low, the alkylating speed is accelerated, in addition, in the 
dynamic time warping algorithm, the equal length of two samples is not needed, and thus the earlier-stage 
processing step is saved.