Content processing of music audio signals
In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples o...
| Autores: | , , , , , , , |
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2008 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/34286 |
| Acceso en línea: | http://hdl.handle.net/10230/34286 |
| Access Level: | acceso abierto |
| Palabra clave: | Sound and Music Computing Music Cognition Audio Signal Processing Machine learning |
| Sumario: | In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples of applications based on this description, such as music identification, music browsing and music signal transformations. Throughout the chapter, a special focus is put on promising research directions. |
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