1. A method for detecting a voice signal, comprising: performing, in a unit of first timeframe frame length, framing on a continuous voice sample to obtain a plurality of first timeframes, detecting energy of each of the first timeframes, and determining a target first timeframe comprising a potential abrupt exception of a voice signal by analyzing a relationship between the energy of the plurality of first timeframes, wherein the potential abrupt exception of a voice signal comprises one of potential abrupt interruption, abrupt start, and abrupt stop of a voice signal; performing, in a unit of second timeframe frame length, framing on the continuous voice sample to obtain a plurality of second timeframes, wherein a frame length of each of the second timeframes is an integral multiple of the first timeframe frame length, and a second timeframe comprising the target first timeframe is a target second timeframe; and processing each of the second timeframes to acquire a tone feature, and determining, by analyzing a tone feature of at least one of the second timeframes comprising at least one of the target first timeframe, whether the potential abrupt exception of a voice signal comprised in the target first timeframe comprised in the target second timeframe is a real abrupt exception of a voice signal.