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Conclusion

We proposed a scheme for modeling music using Markov chains and applied it to two-way composer identification. Experiments were conducted by examining the scale degree transition of Haydn's and Mozart's string quartets, and the results showed that, as far as the recognition rate is concerned, the computer's performance can be statistically significant.


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up Modeling music as Markov chains - composer identification
previous Future directions

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Center for Computer Research in Music and Acoustics,   Stanford University