LNCS 2771 Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria 1st Edition by Benoit Meudic, Emmanuel James ISBN 3540209220 9783540209225

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Product details:

ISBN 10: 3540209220

ISBN 13: 9783540209225

Author:  Benoit Meudic, Emmanuel St-James 

LNCS 2771 – Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria 1st Edition: In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piece”. The algorithm that measures the repetitions relies on some general perceptive notions: it is non-linear, non-symetric and non-transitive. The model can analyse any music of any genre that contains a beat. The analysis is performed into three stages. First, we quantize a MIDI sequence and we segment the music in “beat segments”. Then, we compute a similarity matrix from the segmented sequence. The measure of similarity relies on features such as rhythm, contour and pitch intervals. Last, a bottom-up approach is proposed for extracting patterns from the similarity matrix. The algorithm was tested on several pieces of music, and some examples will be presented in this paper.

 

LNCS 2771 – Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria 1st Edition Table of contents:

1 Introduction

2 Background

3 Aims

4 Introduction to the pattern extraction model

4.1 General considerations on patterns

4.2 General architecture of the model

5 The similarity matrices

5.1 The computation of a matrix

5.2 The similarity measures

6 Pattern extraction from the similarity matrix

6.1 The filtering/clustering of the cells of the similarity matrices

6.2 The extraction of patterns

7 Conclusion

8 Acknowledgements

 

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