Abstract | ||
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The article is concerned with the estimation of fundamental frequencies, or F0s, in polyphonic music. We propose a new method for jointly evaluating multiple F0 hypotheses based on three physical principles, harmonicity, spectral smoothness and synchronous amplitude evolution, within a single source. Based on the generative quasiharmonic model, a set of hypothetical partial sequences is derived and an optimal assignment of the observed peaks to the hypothetical sources and noise is performed. The hypothetical partial sequences are then evaluated by a score function which formulates the guiding principles in a mathematical manner. The algorithm has been tested on a large collection of artificially mixed polyphonic samples and the results show the competitive performance of the proposed method. |
Year | DOI | Venue |
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2005 | 10.1109/ICASSP.2005.1415687 | ICASSP (3) |
Keywords | Field | DocType |
polyphonic music signals,spectral smoothness,multiple fundamental frequency estimation,frequency estimation,music,hypothetical partial sequences,generative quasiharmonic model,sequences,synchronous amplitude evolution,score function,audio signal processing,harmonicity,multiple signal classification,reverberation,rhythm,signal analysis,testing,fundamental frequency,interference | Signal processing,Music information retrieval,Reverberation,Fundamental frequency,Pattern recognition,Computer science,Artificial intelligence,Interference (wave propagation),Audio signal processing,Smoothness,Score | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-8874-7 |
Citations | PageRank | References |
22 | 1.76 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Chunghsin Yeh | 1 | 72 | 5.05 |
Axel Röbel | 2 | 175 | 17.54 |
Xavier Rodet | 3 | 627 | 107.87 |