Room impulse response prototyping using receiver distance estimations for high quality room equalisation algorithms
James Brooks-Park, Martin Bo M{\o}ller, Jan {\O}stergaard, S{\o}ren, Bech, Steven van de Par

TL;DR
This paper introduces a novel method for creating prototype room impulse responses using receiver distance estimations, enhancing high-quality room equalisation by averaging responses across multiple positions.
Contribution
It proposes a new impulse response prototyping technique based on receiver distance estimation, improving room equalisation accuracy over existing methods.
Findings
The proposed method reduces spectral deviation in room equalisation.
Receiver distance estimation supports more accurate prototype RIR formation.
The approach outperforms traditional methods in simulated environments.
Abstract
Room equalisation aims to increase the quality of loudspeaker reproduction in reverberant environments, compensating for colouration caused by imperfect room reflections and frequency dependant loudspeaker directivity. A common technique in the field of room equalisation, is to invert a prototype Room Impulse Response (RIR). Rather than inverting a single RIR at the listening position, a prototype response is composed of several responses distributed around the listening area. This paper proposes a method of impulse response prototyping, using estimated receiver positions, to form a weighted average prototype response. A method of receiver distance estimation is described, supporting the implementation of the prototype RIR. The proposed prototyping method is compared to other methods by measuring their post equalisation spectral deviation at several positions in a simulated room.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Compression Techniques · Advanced Adaptive Filtering Techniques · Power Line Communications and Noise
