Evidence map›Paper›PMID 41970287›Full record

ArticleJournal on audio, speech, and music processing2026

The trajectoRIR database: room acoustic recordings along a trajectory of moving microphones.

Stefano Damiano, Kathleen MacWilliam, Valerio Lorenzoni, Thomas Dietzen, Toon van Waterschoot

Abstract read
In one paragraph

Article in Journal on audio, speech, and music processing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stefano Damiano *Dept. of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium.ORCID 0000-0002-3868-6410
Kathleen MacWilliam *Dept. of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium.
Valerio LorenzoniDept. of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium.
Thomas DietzenDept. of Electrical Engineering (ESAT-PSI), EAVISE, KU Leuven, Sint-Katelijne-Waver, Belgium.
Toon van WaterschootDept. of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data availability is essential in the development of acoustic signal processing algorithms, especially when it comes to data-driven approaches that demand large and diverse training datasets. For this reason, an increasing number of databases have been published in recent years, including either room impulse responses (RIRs) or audio recordings during motion. In this paper we introduce the trajectoRIR database, an extensive, multi-array collection of both dynamic and stationary acoustic recordings along a controlled trajectory in a room. Specifically, the database contains moving-microphone recordings and stationary RIRs that spatially sample the room acoustics along an L-shaped trajectory. This combination makes trajectoRIR unique and applicable to a wide range of tasks, including sound source localization and tracking, spatially dynamic sound field reconstruction, auralization, and system identification. The recording room has a reverberation time of

Indexed as

Dynamic acoustic scenesMoving microphone arraysRoom acoustic databaseRoom impulse responsesSound field reconstruction

Identifiers

PMID41970287
PMCPMC13061821

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.