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This work is supported by the Spanish PROSEMUS project with code TIN2006-14932-C02, the Spanish research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and the Pascal Network of Excellence.
This work is supported by the Spanish PROSEMUS project with code TIN2006-14932-C02, the Spanish research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and the Pascal Network of Excellence.
This work was funded by the Spanish DRIMS project (TIN2009-14247-C02), and the research programme Consolider Ingenio 2010 (MIPRCV, CSD2007-00018).
This project is supported by the Spanish CICyT PROSEMUS project (TIN2006-14932-02), the Consolider Ingenio 2010 program (MIPRCV project, CSD2007-00018), and the Pascal Network of Excellence.
This study presents efficient techniques for multiple fundamental frequency estimation in music signals. The proposed methodology can infer harmonic patterns from a mixture considering interactions with other sources and evaluate them in a joint estimation scheme. For this purpose, a set of fundamental frequency candidates are first selected at each frame, and several hypothetical combinations of them are generated. Combinations are independently evaluated, and the most likely is selected taking into account the intensity and spectral smoothness of its inferred patterns. The method is extended considering adjacent frames in order to smooth the detection in time, and a pitch tracking stage is finally performed to increase the temporal coherence. The proposed algorithms were evaluated in MIREX contests yielding state of the art results w...
Este trabajo propone una serie de métodos eficientes para convertir una señal de audio musical polifónica (WAV, MP3) en una partitura (MIDI).
This work is supported by the Spanish Ministry projects DRIMS (TIN2009-14247-C02), and Consolider Ingenio 2010 (MIPRCV, CSD2007-00018), partially supported by EU ERDF and the Pascal Network of Excellence.
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