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Multichannel NMF for source separation with ambisonic signals

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Multichannel NMF for source separation with ambisonic signals. / Nikunen, Joonas; Politis, Archontis.

16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 . IEEE, 2018. p. 251-255.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Nikunen, J & Politis, A 2018, Multichannel NMF for source separation with ambisonic signals. in 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 . IEEE, pp. 251-255, International Workshop on Acoustic Signal Enhancement, Tokyo, Japan, 17/09/18. https://doi.org/10.1109/IWAENC.2018.8521344

APA

Nikunen, J., & Politis, A. (2018). Multichannel NMF for source separation with ambisonic signals. In 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 (pp. 251-255). IEEE. https://doi.org/10.1109/IWAENC.2018.8521344

Vancouver

Nikunen J, Politis A. Multichannel NMF for source separation with ambisonic signals. In 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 . IEEE. 2018. p. 251-255 https://doi.org/10.1109/IWAENC.2018.8521344

Author

Nikunen, Joonas ; Politis, Archontis. / Multichannel NMF for source separation with ambisonic signals. 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 . IEEE, 2018. pp. 251-255

Bibtex - Download

@inproceedings{9bdbff61970b4040b4fb2580c2adcab2,
title = "Multichannel NMF for source separation with ambisonic signals",
abstract = "This paper proposes a novel method for separation of sound sources with ambisonic signals using multichannel non-negative matrix factorization (MNMF) for source spectrogram estimation. We present a novel frequency-independent spatial covariance matrix (SCM) model for spherical harmonic (SH) domain signals which makes the MNMF parameter estimation framework computationally feasible up to 3rd order SH signals. The evaluation is done with simulated SH domain mixtures by measuring the separation performance using objective criteria and comparing the proposed method against SH domain beamforming. The proposed method improves average separation performance over beamforming with post-filtering when using 1st and 2nd order SH signals while at higher orders performance among all tested methods is similar.",
keywords = "Ambisonics, Multichannel NMF, Source separation",
author = "Joonas Nikunen and Archontis Politis",
year = "2018",
month = "11",
day = "2",
doi = "10.1109/IWAENC.2018.8521344",
language = "English",
pages = "251--255",
booktitle = "16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Multichannel NMF for source separation with ambisonic signals

AU - Nikunen, Joonas

AU - Politis, Archontis

PY - 2018/11/2

Y1 - 2018/11/2

N2 - This paper proposes a novel method for separation of sound sources with ambisonic signals using multichannel non-negative matrix factorization (MNMF) for source spectrogram estimation. We present a novel frequency-independent spatial covariance matrix (SCM) model for spherical harmonic (SH) domain signals which makes the MNMF parameter estimation framework computationally feasible up to 3rd order SH signals. The evaluation is done with simulated SH domain mixtures by measuring the separation performance using objective criteria and comparing the proposed method against SH domain beamforming. The proposed method improves average separation performance over beamforming with post-filtering when using 1st and 2nd order SH signals while at higher orders performance among all tested methods is similar.

AB - This paper proposes a novel method for separation of sound sources with ambisonic signals using multichannel non-negative matrix factorization (MNMF) for source spectrogram estimation. We present a novel frequency-independent spatial covariance matrix (SCM) model for spherical harmonic (SH) domain signals which makes the MNMF parameter estimation framework computationally feasible up to 3rd order SH signals. The evaluation is done with simulated SH domain mixtures by measuring the separation performance using objective criteria and comparing the proposed method against SH domain beamforming. The proposed method improves average separation performance over beamforming with post-filtering when using 1st and 2nd order SH signals while at higher orders performance among all tested methods is similar.

KW - Ambisonics

KW - Multichannel NMF

KW - Source separation

U2 - 10.1109/IWAENC.2018.8521344

DO - 10.1109/IWAENC.2018.8521344

M3 - Conference contribution

SP - 251

EP - 255

BT - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018

PB - IEEE

ER -