SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices

Müller M, Jiang N, Grohganz H. SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper P2-4. Available from: https://aes.org/publications/elibrary-page/?id=17092

@inproceedings{Muller2014_17092,
  author = {Müller, Meinard and Jiang, Nanzhu and Grohganz, Harald},
  title = {{SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  note = {Paper P2-4},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17092}
}

TY  - CPAPER
TI  - SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices
AU  - Müller, Meinard
AU  - Jiang, Nanzhu
AU  - Grohganz, Harald
T2  - AES Conference: 53rd International Conference: Semantic Audio
M1  - Paper P2-4
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17092
PB  - Audio Engineering Society
LA  - en
AB  - The concept of similarity matrices (SMs) has been widely used for a multitude of music analysis and retrieval tasks including audio structure analysis or version identification. For such tasks, the improvement of structural properties of the similarity matrix at an early state of the processing pipeline has turned out to be of crucial importance. In this paper, we present the SM toolbox, which contains MATLAB implementations for computing and enhancing similarity matrices in various ways. Furthermore, our toolbox includes a number of additional tools for parsing, navigation, and visualization synchronized with audio playback. Finally, we provide the code for a recently proposed audio thumbnailing procedure that demonstrates the applicability and importance of enhancement concepts. Providing MATLAB implementations on a website under a GNU-GPL license and including many illustrative examples, our aim is to foster research and education in music information retrieval.
ER  -