11. A non-transitory computer readable storage medium comprising instructions, wherein the instructions are executed by a processor of a device to perform: acquiring sample speeches for training a preset classifier; removing a silent speech from the sample speeches by performing a speech activity detection on the sample speeches, to obtain training speeches; extracting acoustic features of each training speech; and training the preset classifier by inputting the acoustic features of the each training speech into the preset classifier, to obtain a target classifier; identifying an input speech of a user to determine whether the input speech is a child speech; filtrating a searched result obtained according to the input speech to obtain a filtrated searched result, if the input speech is the child speech; and feeding the filtrated searched result to the user, wherein removing a silent speech from the sample speeches by performing a speech activity detection on the sample speeches, to obtain training speeches comprises: dividing each sample speech into frames by a preset first step size, and removing the silent speech from each frame of the each sample speech by performing the speech activity detection on the each frame of the each sample speech, to obtain the each training speech; wherein extracting the acoustic features of each training speech comprises: dividing the each training speech by a preset second step size; and extracting by a preset third step size, the acoustic features of the each training speech after dividing by the preset second step size.
11. A non-transitory computer readable storage medium comprising instructions, wherein the instructions are executed by a processor of a device to perform: acquiring sample speeches for training a preset classifier; removing a silent speech from the sample speeches by performing a speech activity detection on the sample speeches, to obtain training speeches; extracting acoustic features of each training speech; and training the preset classifier by inputting the acoustic features of the each training speech into the preset classifier, to obtain a target classifier; identifying an input speech of a user to determine whether the input speech is a child speech; filtrating a searched result obtained according to the input speech to obtain a filtrated searched result, if the input speech is the child speech; and feeding the filtrated searched result to the user, wherein removing a silent speech from the sample speeches by performing a speech activity detection on the sample speeches, to obtain training speeches comprises: dividing each sample speech into frames by a preset first step size, and removing the silent speech from each frame of the each sample speech by performing the speech activity detection on the each frame of the each sample speech, to obtain the each training speech; wherein extracting the acoustic features of each training speech comprises: dividing the each training speech by a preset second step size; and extracting by a preset third step size, the acoustic features of the each training speech after dividing by the preset second step size. 12. The non-transitory computer readable storage medium according to claim 11 , wherein filtrating a searched result obtained according to the input speech comprises: converting the input speech into a text content; obtaining the searched result by searching according to the text content; and filtrating the searched result to remove a sensitive content unsuitable for a child.