The application relates to a VR user identity
authentication method based on multi-
modal perception of sound vibration signals, which comprises the following steps: S1, obtaining original acceleration signals and original speech signals based on time axis alignment; S2, identifying sound segments and taking the sound segments as first speech signals; S3, taking first acceleration signals corresponding to the first speech signals from the original acceleration signals; S4, generating
acceleration amplitude spectrum diagrams of the first acceleration signals as first acceleration spectrum diagrams; S5, converting the first acceleration spectrum diagrams into speech mel spectrum diagrams as second mel spectrum diagrams, and converting the second mel spectrum diagrams into
acceleration amplitude spectrum diagrams as second acceleration spectrum diagrams; S6, performing cyclic consistency
feature extraction on the first acceleration spectrum diagrams and the second acceleration spectrum diagrams to obtain first features; and S7, inputting the first features into a trained first detection model to obtain a detection result. Compared with the prior art, the application has the advantages of improving the anti-interference ability and the accuracy, etc.