Agglomerative clustering in sparse atomic decompositions of audio signals

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Abstract

We present a correlation-based algorithm for the agglomerative clustering of atoms in sparse atomic decompositions of audio signals. Our goal is to demonstrate useful relationships between elements of the decomposition and the content of the original signal, for such purposes as analysis and modification. We evaluate the performance of the agglomeration algorithm using decompositions of synthetic and real audio signals, and discuss possible extensions of this work. ©2008 IEEE.

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APA

Sturm, B. L., Shynk, J. J., & Gauglitz, S. (2008). Agglomerative clustering in sparse atomic decompositions of audio signals. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 97–100). https://doi.org/10.1109/ICASSP.2008.4517555

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