The embodiment of the application discloses a speech signal detection method, a computer storage medium and related equipment, which belong to the technical field of speech recognition. Wherein, the method includes: obtaining the current audio signal collected at the current moment and a plurality of historical audio signals collected at the historical moment; using Bayesian filtering to process the current audio signal and the plurality of historical audio signals to obtain the current audio signal The posterior probability, wherein the posterior probability includes: the posterior probability that the current audio signal contains a speech signal, and the posterior probability that the current audio signal does not contain a speech signal; based on the posterior probability of the current audio signal and a preset threshold value, A detection result of the current audio signal is obtained, wherein the detection result is used to characterize the probability that the current audio signal contains a speech signal. Therefore, the embodiment of the present application can improve the reliability and validity of the detection result, improve the detection quality of the audio signal, and effectively reduce the false trigger rate of the speech recognition system.