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Classification of audio signals using spectrogram surfaces and extrinsic distortion measures
Representation of one-dimensional (1D) signals as surfaces and higher-dimensional manifolds reveals geometric structures that can enhance assessment of signal similarity and classification of large sets of signals. Motivated by this observation, we propose a novel robust algorithm for extraction of...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589786/ https://www.ncbi.nlm.nih.gov/pubmed/36311995 http://dx.doi.org/10.1186/s13634-022-00933-9 |