An efficient multi-resolution spectral transform for music analysis
Resumen:
In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm.
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| 2009 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38658 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm. |
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