Music Identification Using Embedded HMM

In this paper, we propose a new method for music identification based on embedded hidden Markov model (EHMM). Differing from conventional HMM, the EHMM estimates the emission probability of its external HMM from the second, state specific HMM, which is referred as internal HMM. EHMM clusters the feature blocks with its external HMM and describes spectral and the temporal structures of each feature block with its internal HMM. Our analysis and experimental results show that the proposed method for music identification achieves higher accuracy and lower complexity than previous approaches