Rhythm is one of the three main factors of music.It's of great importance to analyze and extract rhythm features from music signal which mainly includes beat and tempo.In this paper

firstly we introduce a method which uses autocorrelation phase-entropy

to analyze meter and tempo of music.With this method we get a 97 percent of accuracy degree in music tempo induction on a database of 100 songs(including 50 popular and 50 Chinese folk); Then based on the result of tempo induction

we propose a roughly Bayesian model to keep the beats sequence consistent with the global tempo of music in the music beats locating; Finally we introduce a new beat tracking algorithm using dynamic programming to finish the beat tracking.By comparing its result with others'

this algorithm proves to be very effective.