Model-based Noise PSD Estimation from Speech in Non-stationary Noise

Jesper Kjær Nielsen; Mathew Shaji Kavalekalam; Mads Græsbøll Christensen; Jesper Bünsow Boldt

doi:10.1109/ICASSP.2018.8461683

Model-based Noise PSD Estimation from Speech in Non-stationary Noise

Jesper Kjær Nielsen, Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Jesper Bünsow Boldt

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

12 Citations (Scopus)

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Abstract

Most speech enhancement algorithms need an estimate of the noise power spectral density (PSD) to work. In this paper, we introduce a model-based framework for doing noise PSD estimation. The proposed framework allows us to include prior spectral information about the speech and noise sources, can be configured to have zero tracking delay, and does not depend on estimated speech presence probabilities. This is in contrast to other noise PSD estimators which often have a too large tracking delay to give good results in non- stationary situations and offer no consistent way of including prior information about the speech or the noise type. The results show that the proposed method outperforms state-of-the-art noise PSD estima- tors in terms of tracking speed and estimation accuracy.

Original language	English
Title of host publication	IEEE International Conference on Acoustics, Speech, and Signal Processing
Number of pages	5
Place of Publication	Calgary, Canada
Publisher	IEEE
Publication date	10 Sep 2018
Pages	5424-5428
Article number	8461683
ISBN (Electronic)	978-1-5386-4658-8
DOIs	https://doi.org/10.1109/ICASSP.2018.8461683
Publication status	Published - 10 Sep 2018
Event	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018 https://2018.ieeeicassp.org/

Conference

Conference	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Country	Canada
City	Calgary
Period	15/04/2018 → 20/04/2018
Internet address	https://2018.ieeeicassp.org/

Series	I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN	1520-6149

Keywords

Noise PSD estimation
Noise statistics
Speech enhancement

Access to Document

10.1109/ICASSP.2018.8461683

paperAccepted author manuscript, 318 KBLicence: Unspecified
Supporting documentOther version, 152 KBLicence: Unspecified
MATLAB codeOther version, 144 KBLicence: Other

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Nielsen, J. K., Kavalekalam, M. S., Christensen, M. G., & Boldt, J. B. (2018). Model-based Noise PSD Estimation from Speech in Non-stationary Noise. In IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 5424-5428). [8461683] IEEE. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings https://doi.org/10.1109/ICASSP.2018.8461683

Nielsen, Jesper Kjær ; Kavalekalam, Mathew Shaji ; Christensen, Mads Græsbøll ; Boldt, Jesper Bünsow. / Model-based Noise PSD Estimation from Speech in Non-stationary Noise. IEEE International Conference on Acoustics, Speech, and Signal Processing. Calgary, Canada : IEEE, 2018. pp. 5424-5428 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

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abstract = "Most speech enhancement algorithms need an estimate of the noise power spectral density (PSD) to work. In this paper, we introduce a model-based framework for doing noise PSD estimation. The proposed framework allows us to include prior spectral information about the speech and noise sources, can be configured to have zero tracking delay, and does not depend on estimated speech presence probabilities. This is in contrast to other noise PSD estimators which often have a too large tracking delay to give good results in non- stationary situations and offer no consistent way of including prior information about the speech or the noise type. The results show that the proposed method outperforms state-of-the-art noise PSD estima- tors in terms of tracking speed and estimation accuracy.",

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Nielsen, JK, Kavalekalam, MS, Christensen, MG & Boldt, JB 2018, Model-based Noise PSD Estimation from Speech in Non-stationary Noise. in IEEE International Conference on Acoustics, Speech, and Signal Processing., 8461683, IEEE, Calgary, Canada, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 5424-5428, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 15/04/2018. https://doi.org/10.1109/ICASSP.2018.8461683

Model-based Noise PSD Estimation from Speech in Non-stationary Noise. / Nielsen, Jesper Kjær; Kavalekalam, Mathew Shaji; Christensen, Mads Græsbøll; Boldt, Jesper Bünsow.

IEEE International Conference on Acoustics, Speech, and Signal Processing. Calgary, Canada : IEEE, 2018. p. 5424-5428 8461683 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AB - Most speech enhancement algorithms need an estimate of the noise power spectral density (PSD) to work. In this paper, we introduce a model-based framework for doing noise PSD estimation. The proposed framework allows us to include prior spectral information about the speech and noise sources, can be configured to have zero tracking delay, and does not depend on estimated speech presence probabilities. This is in contrast to other noise PSD estimators which often have a too large tracking delay to give good results in non- stationary situations and offer no consistent way of including prior information about the speech or the noise type. The results show that the proposed method outperforms state-of-the-art noise PSD estima- tors in terms of tracking speed and estimation accuracy.

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Nielsen JK, Kavalekalam MS, Christensen MG, Boldt JB. Model-based Noise PSD Estimation from Speech in Non-stationary Noise. In IEEE International Conference on Acoustics, Speech, and Signal Processing. Calgary, Canada: IEEE. 2018. p. 5424-5428. 8461683. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). https://doi.org/10.1109/ICASSP.2018.8461683

Model-based Noise PSD Estimation from Speech in Non-stationary Noise

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