A voice detection method, comprising: dividing a to-be-detected audio signal into a plurality of audio segments; extracting an audio characteristic of each audio segment of the plurality of audio segments, wherein the audio characteristic comprises: a signal zero-crossing rate of a current audio segment in a time domain, short-time energy of the current audio segment in a time domain, spectral flatness of the current audio segment in a frequency domain, and signal information entropy of the current audio segment in a time domain; and detecting at least one target voice segment from the plurality of audio segments according to the audio characteristic of each audio segment; wherein the detecting at least one target voice segment from the plurality of audio segments according to the audio characteristic of each audio segment comprises: determining whether the audio characteristic of a current audio segment satisfies a predetermined threshold condition, comprising: determining whether the signal zero-crossing rate of the current audio segment in a time domain is greater than a first threshold; when the signal zero-crossing rate of the current audio segment is greater than the first threshold, determining whether the short-time energy of the current audio segment in the time domain is greater than a second threshold; when the short-time energy of the current audio segment is greater than the second threshold, determining whether the spectral flatness of the current audio segment in the frequency domain is less than a third threshold; and when the spectral flatness of the current audio segment in the frequency domain is less than the third threshold, determining whether the signal information entropy of the current audio segment in the time domain is less than a fourth threshold; and when the audio characteristic of the current audio segment satisfies the predetermined threshold condition, detecting that the current audio segment is a target voice segment, comprising: when determining that the signal information entropy of the current audio segment is less than the fourth threshold, detecting that the current audio segment is a target voice segment. dividing a to-be-detected audio signal into a plurality of audio segments; extracting an audio characteristic of each audio segment of the plurality of audio segments, wherein the audio characteristic comprises: a signal zero-crossing rate of a current audio segment in a time domain, short-time energy of the current audio segment in a time domain, spectral flatness of the current audio segment in a frequency domain, and signal information entropy of the current audio segment in a time domain; and detecting at least one target voice segment from the plurality of audio segments according to the audio characteristic of each audio segment; wherein the detecting at least one target voice segment from the plurality of audio segments according to the audio characteristic of each audio segment comprises: determining whether the audio characteristic of a current audio segment satisfies a predetermined threshold condition, comprising: determining whether the signal zero-crossing rate of the current audio segment in a time domain is greater than a first threshold; when the signal zero-crossing rate of the current audio segment is greater than the first threshold, determining whether the short-time energy of the current audio segment in the time domain is greater than a second threshold; when the short-time energy of the current audio segment is greater than the second threshold, determining whether the spectral flatness of the current audio segment in the frequency domain is less than a third threshold; and when the spectral flatness of the current audio segment in the frequency domain is less than the third threshold, determining whether the signal information entropy of the current audio segment in the time domain is less than a fourth threshold; and when the audio characteristic of the current audio segment satisfies the predetermined threshold condition, detecting that the current audio segment is a target voice segment, comprising: when determining that the signal information entropy of the current audio segment is less than the fourth threshold, detecting that the current audio segment is a target voice segment. determining whether the audio characteristic of a current audio segment satisfies a predetermined threshold condition, comprising: determining whether the signal zero-crossing rate of the current audio segment in a time domain is greater than a first threshold; when the signal zero-crossing rate of the current audio segment is greater than the first threshold, determining whether the short-time energy of the current audio segment in the time domain is greater than a second threshold; when the short-time energy of the current audio segment is greater than the second threshold, determining whether the spectral flatness of the current audio segment in the frequency domain is less than a third threshold; and when the spectral flatness of the current audio segment in the frequency domain is less than the third threshold, determining whether the signal information entropy of the current audio segment in the time domain is less than a fourth threshold; and when the audio characteristic of the current audio segment satisfies the predetermined threshold condition, detecting that the current audio segment is a target voice segment, comprising: when determining that the signal information entropy of the current audio segment is less than the fourth threshold, detecting that the current audio segment is a target voice segment.