Cropping room impulse responses using unimodal regression of their covariance

Prawda K, Meyer-Kahlen N, Schlecht S (2025)


Publication Type: Journal article

Publication year: 2025

Journal

Book Volume: 5

Article Number: 081601

Journal Issue: 8

DOI: 10.1121/10.0038960

Abstract

The presence of unavoidable background noise limits the signal-to-noise ratio in measured room impulse responses (RIRs). A common solution is to crop the RIR to the time interval where the signal dominates the background noise, but finding the correct onset and truncation points is challenging. It usually requires estimating the sound decay rate and noise floor, which is burdened with uncertainty. In this study, we propose an RIR cropping method based on the covariance between two repeated RIRs and its inherent monotonicity. Evaluation on measured RIRs shows the proposed method is highly robust in different scenarios and outperforms state-of-the-art algorithms.

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How to cite

APA:

Prawda, K., Meyer-Kahlen, N., & Schlecht, S. (2025). Cropping room impulse responses using unimodal regression of their covariance. JASA Express Letters, 5(8). https://doi.org/10.1121/10.0038960

MLA:

Prawda, Karolina, Nils Meyer-Kahlen, and Sebastian Schlecht. "Cropping room impulse responses using unimodal regression of their covariance." JASA Express Letters 5.8 (2025).

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