Browse State-of-the-Art › Room Impulse Response (RIR)
Room Impulse Response (RIR)
18 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Room Impulse Response (RIR) is an audio signal processing task that involves capturing and analyzing the acoustic characteristics of a room or an environment. The goal is to measure and model the way sound waves interact with the space, including reflections, reverberation, and echoes.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
18 shown of 18 papers with code (52 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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7 Oct 2021 3 repositories listedWe present a neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
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26 Oct 2018 3 repositories listedThe Image Source Method (ISM) is one of the most employed techniques to calculate acoustic Room Impulse Responses (RIRs), however, its computational complexity grows fast with the reverberation time of the room and its…
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30 Nov 2023 2 repositories listedWe propose AV-RIR, a novel multi-modal multi-task learning approach to accurately estimate the RIR from a given reverberant speech signal and the visual cues of its corresponding environment.
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5 Sep 2022 2 repositories listedOur system submitted to the DCASE 2022 Task 3 is based on our previous proposed Event-Independent Network V2 (EINV2) with a novel data augmentation method.
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8 Aug 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverifiedThe training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in real-world, reverberant environments.
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21 Jun 2021 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Two subdatasets are currently available: one consists of IRs in a three-dimensional cuboidal region from a single source, and the other consists of IRs in a two-dimensional square region from an array of 32 sources.
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27 Apr 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedThis paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, real sources and image sources under…
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26 May 2025 1 repository listedWe present ReverbFX, a new room impulse response (RIR) dataset designed for singing voice dereverberation research.
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8 May 2025 1 repository listedWe only need a simple single-speaker speech diffusion model as a prior along with the mixtures recorded at the microphones; no microphone array information is necessary.
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14 Apr 2025 1 repository listed Syntology ran 10 of 11 samples · 1 unverified · 11 pointer-only (licence)In mixed reality applications, a realistic acoustic experience in spatial environments is as crucial as the visual experience for achieving true immersion.
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11 Feb 2025 1 repository listedReverberant speech, denoting the speech signal degraded by the process of reverberation, contains crucial knowledge of both anechoic source speech and room impulse response (RIR).
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11 Jun 2024 1 repository listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)Recent years have seen immense progress in 3D computer vision and computer graphics, with emerging tools that can virtualize real-world 3D environments for numerous Mixed Reality (XR) applications.
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7 May 2024 1 repository listedIn this paper, we propose a new universal blind estimation framework called the blind estimator of room parameters (BERP) to estimate RAPs, RGPs and occupancy level via a unified methodology.
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8 Nov 2022 1 repository listedWe propose a novel approach for blind room impulse response (RIR) estimation systems in the context of a downstream application scenario, far-field automatic speech recognition (ASR).
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15 Jul 2021 1 repository listedDeep learning approaches have emerged that aim to transform an audio signal so that it sounds as if it was recorded in the same room as a reference recording, with applications both in audio post-production and…
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24 Jun 2021 1 repository listedThis paper introduces a shoebox room simulator able to systematically generate synthetic datasets of binaural room impulse responses (BRIRs) given an arbitrary set of head-related transfer functions (HRTFs).
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19 May 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedIn authentication scenarios, applications of practical speaker verification systems usually require a person to read a dynamic authentication text.
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17 Aug 2020 1 repository listedIn this paper we introduce StoRIR - a stochastic room impulse response generation method dedicated to audio data augmentation in machine learning applications.
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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