Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering

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Resumé

Pitch estimation is an important task in speech and audio analysis. In this paper, we present a multi-pitch estimation algorithm based on block sparse Bayesian learning and intra-block clustering for speech analysis. A statistical hierarchical model is formulated based on a pitch dictionary with a fixed maximum number of harmonics for all the candidate pitches. Block sparse Bayesian learning is proposed for estimating the complex amplitudes. To deal with the problem of unknown harmonic orders and subharmonic errors, intra-block clustering structured sparsity prior is also introduced. The statis- tical update formulas are obtained by the variational Bayesian in- ference. Compared with the conventional group LASSO-type algo- rithms for multi-pitch estimation, experimental results indicate ro- bustness against noise and improved estimation accuracy of the pro- posed method.
OriginalsprogEngelsk
Titel2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Antal sider5
Udgivelses stedCalgary, Canada
ForlagIEEE
Publikationsdato15 apr. 2018
Sider666-670
ISBN (Trykt)978-1-5386-4657-1, 978-1-5386-4659-5
ISBN (Elektronisk)978-1-5386-4658-8
DOI
StatusUdgivet - 15 apr. 2018
Begivenhed2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Calgary, Canada
Varighed: 15 apr. 201820 apr. 2018
https://2018.ieeeicassp.org/

Konference

Konference2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
LandCanada
ByCalgary
Periode15/04/201820/04/2018
Internetadresse
NavnI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

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Speech analysis
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Citer dette

Shi, L., Jensen, J. R., Nielsen, J. K., & Christensen, M. G. (2018). Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering. I 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 666-670). Calgary, Canada: IEEE. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings https://doi.org/10.1109/ICASSP.2018.8462300
Shi, Liming ; Jensen, Jesper Rindom ; Nielsen, Jesper Kjær ; Christensen, Mads Græsbøll. / Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, Canada : IEEE, 2018. s. 666-670 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).
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title = "Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering",
abstract = "Pitch estimation is an important task in speech and audio analysis. In this paper, we present a multi-pitch estimation algorithm based on block sparse Bayesian learning and intra-block clustering for speech analysis. A statistical hierarchical model is formulated based on a pitch dictionary with a fixed maximum number of harmonics for all the candidate pitches. Block sparse Bayesian learning is proposed for estimating the complex amplitudes. To deal with the problem of unknown harmonic orders and subharmonic errors, intra-block clustering structured sparsity prior is also introduced. The statis- tical update formulas are obtained by the variational Bayesian in- ference. Compared with the conventional group LASSO-type algo- rithms for multi-pitch estimation, experimental results indicate ro- bustness against noise and improved estimation accuracy of the pro- posed method.",
author = "Liming Shi and Jensen, {Jesper Rindom} and Nielsen, {Jesper Kj{\ae}r} and Christensen, {Mads Gr{\ae}sb{\o}ll}",
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Shi, L, Jensen, JR, Nielsen, JK & Christensen, MG 2018, Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering. i 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Calgary, Canada, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 666-670, Calgary, Canada, 15/04/2018. https://doi.org/10.1109/ICASSP.2018.8462300

Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering. / Shi, Liming; Jensen, Jesper Rindom; Nielsen, Jesper Kjær; Christensen, Mads Græsbøll.

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, Canada : IEEE, 2018. s. 666-670 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Shi L, Jensen JR, Nielsen JK, Christensen MG. Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-block Clustering. I 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, Canada: IEEE. 2018. s. 666-670. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). https://doi.org/10.1109/ICASSP.2018.8462300