Effective Rank-Based Estimation of the Coherent-To-Diffuse Power Ratio

Löllmann H, Brendel A, Kellermann W (2021)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Pages Range: 1-5

Event location: Toronto CA

DOI: 10.1109/icassp39728.2021.9413985

Abstract

Many algorithms for speech dereverberation and noise reduction rely on an estimate of the coherent-to-diffuse power ratio (CDR). Such systems typically operate in very diverse acoustic conditions, and CDR estimators relying on very weak model assumptions about the acoustic sound field of the desired speech and interfering noise are hence desirable. A CDR estimator whose design is based on this premise is devised in this contribution. The proposed non-iterative CDR estimator exploits the effective rank of the covariance matrix of the recorded input signals by assuming it to be of lower rank for a coherent sound field than for a diffuse sound field. In addition to this weak assumption, related methods usually require information about, e.g., the array geometry, direction-of-arrival (DOA) of the desired source or rely on a coherence model for the desired signal or background noise, which is not required for the proposed method. Despite the use of little a priori information about the acoustic sound field, the new estimator achieves a significantly higher estimation accuracy for the CDR in comparison to related state-of-the-art approaches which use explicit coherence models.

Authors with CRIS profile

Heinrich Löllmann Professur für Signalverarbeitung Andreas Brendel Professur für Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

How to cite

APA:

Löllmann, H., Brendel, A., & Kellermann, W. (2021). Effective Rank-Based Estimation of the Coherent-To-Diffuse Power Ratio. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). Toronto, CA.

MLA:

Löllmann, Heinrich, Andreas Brendel, and Walter Kellermann. "Effective Rank-Based Estimation of the Coherent-To-Diffuse Power Ratio." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto 2021. 1-5.

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