The main focus and challenge of landslide research is always the formation mechanism of bedding rock landslide. Preventing and controlling large-scale landslide is difficult due to high monitoring costs and short warning times, posing a significant challenge for accurate forecasting. In recent years, infrasound monitoring has been widely applied in the field of geological hazards. However, the infrasound characteristics of rock landslide remain unclear, hindering the application and promotion of this technology. Therefore, this study aimed to analyze the infrasound characteristics of bedding rock landslide through a physical model test. Through wavelet decomposition analysis of the experimental infrasound data, the study summarized the infrasound characteristics and energy distribution of rock landslide failure at various stages, as well as analyzed the correlation between the slide process and infrasound signals. The results showed that: (1) Infrasound signals are present in uniform deformation, accelerated deformation, slow sliding and rapid sliding stages of the bedding rock landslide, but the energy distribution is different for each stage, with the most apparent infrasound events occurring during accelerated deformation and rapid sliding stages. (2) During the deformation stage of the rock landslide, the infrasound waveform exhibits sharper features than during the sliding stage, with waveforms during the uniform deformation and slow sliding stages sloping to the right, and waveforms during the accelerated deformation and rapid sliding stages sloping to the left. (3) The infrasound frequencies in each stage are distributed between 0.01 and 20.0 Hz, among which the dominant frequencies in the uniform deformation stage and the slow sliding stage are mainly distributed between 0.01 and 10.0 Hz, and the dominant frequencies in the accelerated deformation stage and the rapid sliding stage are mainly distributed between 10.0 and 20.0 Hz. The findings of this study offer valuable insights for the development and application of rock landslide infrasound monitoring and early warning technology.