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.