Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Abstract

In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
PublisherIEEE
Publication date2017
Pages186-190
ISBN (Electronic)978-1-5090-4117-6
DOIs
Publication statusPublished - 2017
EventThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017
http://www.ieee-icassp2017.org/
http://www.ieee-icassp2017.org/

Conference

ConferenceThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
CountryUnited States
CityNew Orleans
Period05/03/201709/03/2017
Internet address
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Fingerprint

Transcription
Invariance
Experiments

Cite this

Hansen, M. W., Jensen, J. R., & Christensen, M. G. (2017). Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 (pp. 186-190). IEEE. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings https://doi.org/10.1109/ICASSP.2017.7952143
Hansen, Martin Weiss ; Jensen, Jesper Rindom ; Christensen, Mads Græsbøll. / Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE, 2017. pp. 186-190 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).
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title = "Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach",
abstract = "In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.",
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Hansen, MW, Jensen, JR & Christensen, MG 2017, Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach. in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 186-190, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, United States, 05/03/2017. https://doi.org/10.1109/ICASSP.2017.7952143

Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach. / Hansen, Martin Weiss; Jensen, Jesper Rindom; Christensen, Mads Græsbøll.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE, 2017. p. 186-190 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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N2 - In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.

AB - In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.

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Hansen MW, Jensen JR, Christensen MG. Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. IEEE. 2017. p. 186-190. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). https://doi.org/10.1109/ICASSP.2017.7952143