An abnormal frame detection method and apparatus are disclosed. In an embodiment the method includes obtaining a signal frame from a speech signal, and dividing the signal frame into at least two subframes; obtaining a local energy value of a subframe of the signal frame; obtaining, according to the local energy value of the subframe, a first characteristic value used to indicate a local energy trend of the signal frame; performing singularity analysis on the signal frame to obtain a second characteristic value; and determining the signal frame as an abnormal frame if the first characteristic value meets a first threshold and the second characteristic value meets a second threshold. It is implemented whether distortion occurs in a speech signal is detected.