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Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing.

E. Gómez, F. Cañadas-Quesada, J. Salamon, J. Bonada, P. Candea, and P. Molero. ISMIR, page 601-606. FEUP Edições, (2012)

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Dr. Jordi Mauri University of Stuttgart

Other publications of authors with the same name

Singing Voice Synthesis Combining Excitation plus Resonance and Sinusoidal plus Residual Models.J. Bonada, Ò. Celma, A. Loscos, J. Ortolà, X. Serra, Y. Yoshioka, H. Kayama, Y. Hisaminato, and H. Kenmochi. ICMC, Michigan Publishing, (2001)Low-Delay Singing Voice Alignment to Text.A. Loscos, P. Cano, and J. Bonada. ICMC, Michigan Publishing, (1999)Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models.R. Marxer, J. Janer, and J. Bonada. LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 314-321. Springer, (2012)Performance Control Driven Violin Timbre Model Based on Neural Networks.A. Carrillo, J. Bonada, E. Maestre, E. Guaus, and M. Blaauw. IEEE Trans. Audio, Speech & Language Processing, 20 (3): 1007-1021 (2012)WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN.P. Chandna, M. Blaauw, J. Bonada, and E. Gómez. EUSIPCO, page 1-5. IEEE, (2019)Computational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing.N. Kroher, E. Gómez, C. Guastavino, F. Gómez, and J. Bonada. ISMIR, page 65-70. (2014)Derivative analysis of complex polynomial amplitude, complex exponential with exponential damping.S. Musevic, and J. Bonada. ICASSP, page 488-492. IEEE, (2013)Modeling and Transforming Speech Using Variational Autoencoders.M. Blaauw, and J. Bonada. INTERSPEECH, page 1770-1774. ISCA, (2016)A Vocoder Based Method for Singing Voice Extraction.P. Chandna, M. Blaauw, J. Bonada, and E. Gómez. ICASSP, page 990-994. IEEE, (2019)Statistical Modeling of Bowing Control Applied to Violin Sound Synthesis.E. Maestre, M. Blaauw, J. Bonada, E. Guaus, and A. Pérez. IEEE Trans. Audio, Speech & Language Processing, 18 (4): 855-871 (2010)

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Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing.

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Dr. Jordi Mauri University of Stuttgart

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing.

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Dr. Jordi Mauri University of Stuttgart

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Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing.