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| Liquid State Machine Based Music Chord Sequence Recognition Algorithm |
| ZHANG Guan-Yuan1,2,WANG Bin1 |
1.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190
2.University of Chinese Academy of Sciences,Beijing 100049 |
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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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Received: 04 February 2013
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2013, Vol. 26 
