Disclosed are a method for detecting speech concatenating points and a storage medium. The method includes: acquiring a speech to be detected, and determining high-frequency components and low-frequency components of the speech to be detected; extracting first cepstrum features and second cepstrum features corresponding to the speech to be detected according to the high-frequency components and the low-frequency components; splicing the first and the second cepstrum feature of speech per frame in the speech to be detected in units of frame so as to obtain a parameter sequence; inputting the parameter sequence into a neural network model so as to obtain a feature sequence corresponding to the speech to be detected, wherein the model has been trained, has learned and stored a correspondence between the parameter sequence and the feature sequence; and performing detection of speech concatenating points on the speech to be detected according to the feature sequence.