Evidence map›Paper›PMID 38610401›Full record

ArticleSensors (Basel, Switzerland)2024

A Signal-Processing-Based Simulation System for High-End Stereo Headsets.

Anna Zuccante, Alessandro Fiordelmondo, Pierluigi Bontempi, Sergio Canazza

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Anna ZuccanteCentro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0009-0004-8545-3742
Alessandro FiordelmondoCentro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0002-4670-5298
Pierluigi BontempiCentro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0002-4360-8708
Sergio CanazzaCentro di Sonologia Computazionale (CSC), Department of Information Engineering (DEI), University of Padua, Via Gradenigo 6/b, 35131 Padova, Italy.ORCID 0000-0001-7083-4615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, headphones have become increasingly popular worldwide. There are numerous models on the market today, varying in technical characteristics and offering different listening experiences. This article presents an application for simulating the sound response of specific headphone models by physically wearing others. In the future, for example, this application could help to guide people who already own a pair of headphones during the decision-making process of purchasing a new headphone model. However, the potential fields of application are much broader. An in-depth study of digital signal processing was carried out with the implementation of a computational model. Prior to this, an analysis was performed on impulse response measurements of specific headphones, which allowed for a better understanding of the behavior of each set of headphones. Finally, an evaluation of the entire system was conducted through a listening test. The analysis of the results showed that the software works reasonably well in replicating the target headphones. We hope that this work will stimulate further efforts in the same direction.

Indexed as

binaural audiodigital signal processingheadphonesheadphones impulse responsesheadphones virtualizationsimulation system

Identifiers

PMID38610401
PMCPMC11014414

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.