14. The non-transitory computer readable storage medium according to claim 11 , wherein identifying an input speech of a user to determine whether the input speech is a child speech comprises: removing a silent speech from the input speech by performing the speech activity detection on the input speech, to obtain a tested speech; extracting acoustic features of the tested speech; and identifying the acoustic features of the tested speech by inputting the acoustic features of the tested speech into the target classifier, to determine whether the input speech is the child speech.
14. The non-transitory computer readable storage medium according to claim 11 , wherein identifying an input speech of a user to determine whether the input speech is a child speech comprises: removing a silent speech from the input speech by performing the speech activity detection on the input speech, to obtain a tested speech; extracting acoustic features of the tested speech; and identifying the acoustic features of the tested speech by inputting the acoustic features of the tested speech into the target classifier, to determine whether the input speech is the child speech. 15. The non-transitory computer readable storage medium according to claim 14 , wherein removing the silent speech from the input speech by performing the speech activity detection on the input speech, to obtain a tested speech comprises: dividing the input speech into frames by a preset first step size, and removing the silent speech from each frame of the input speech by performing the speech activity detection on the each frame of the input speech, to obtain the tested speech; extracting acoustic features of the tested speech comprises: dividing, by the at least one computing device, the tested speech by a preset second step size; and extracting by a preset third step size, the acoustic features of the tested speech after dividing by the preset second step size; and wherein, identifying the acoustic features of the tested speech by inputting the acoustic features of the tested speech into the target classifier, to determine whether the input speech is the child speech comprises: grading the acoustic features of the tested speech by inputting the acoustic features of the tested speech into the target classifier; acquiring an average value of the tested speech; and determining that the input speech is the child speech if the average value is greater than a preset threshold.