Evidence map›Paper›PMID 33401407›Full record

ArticleSensors (Basel, Switzerland)2021

Binaural Modelling and Spatial Auditory Cue Analysis of 3D-Printed Ears.

Te Meng Ting, Nur Syazreen Ahmad, Patrick Goh, Junita Mohamad-Saleh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Review
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.

Te Meng TingSchool of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.
Nur Syazreen AhmadSchool of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.ORCID 0000-0003-2615-8386
Patrick GohSchool of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.
Junita Mohamad-SalehSchool of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.

Funding

Universiti Sains Malaysia RUI Grant Scheme (1001/PELECT/8014104).
6 · The paper itself

Abstract

In this work, a binaural model resembling the human auditory system was built using a pair of three-dimensional (3D)-printed ears to localize a sound source in both vertical and horizontal directions. An analysis on the proposed model was firstly conducted to study the correlations between the spatial auditory cues and the 3D polar coordinate of the source. Apart from the estimation techniques via interaural and spectral cues, the property from the combined direct and reverberant energy decay curve is also introduced as part of the localization strategy. The preliminary analysis reveals that the latter provides a much more accurate distance estimation when compared to approximations via sound pressure level approach, but is alone not sufficient to disambiguate the front-rear confusions. For vertical localization, it is also shown that the elevation angle can be robustly encoded through the spectral notches. By analysing the strengths and shortcomings of each estimation method, a new algorithm is formulated to localize the sound source which is also further improved by cross-correlating the interaural and spectral cues. The proposed technique has been validated via a series of experiments where the sound source was randomly placed at 30 different locations in an outdoor environment up to a distance of 19 m. Based on the experimental and numerical evaluations, the localization performance has been significantly improved with an average error of 0.5 m from the distance estimation and a considerable reduction of total ambiguous points to 3.3%.

Indexed as

CuesAcoustic StimulationEarHumansPrinting, Three-DimensionalSound Localization3D localization3D-printed earsauditory cuesbinaural modellingfront-rear confusions

Identifiers

PMID33401407
PMCPMC7795785

What OpenQuestion holds

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Registered trials

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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.