Abstract A chord sequence recognition algorithm based on Liquid State Machine (LSM) is presented. Firstly,the music signal is segmented and Pitch Class Profile feature is extracted for every frame. Then,a LSM model is achieved after training. Two kinds of Bizarre Chord,chord appears probability vector and chord transformation matrix,are presented to post-process the chord sequence outputted by LSM. 8 sets of experimental data from neural network model,hidden Markov mode,echo state network model and LSM model show that the LSM gets a good performance,and the post-processing method also effectively improves the recognition accuracy.
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2013, Vol. 26 
