Evidence map›Paper›PMID 35875863›Full record

ArticleCochlear implants international2022

Parameter tuning of time-frequency masking algorithms for reverberant artifact removal within the cochlear implant stimulus.

Lidea K Shahidi, Leslie M Collins, Boyla O Mainsah

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cochlear implants international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Lidea K ShahidiDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-1369-6011
Leslie M CollinsDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.ORCID 0000-0002-9043-6531
Boyla O MainsahDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-2612-0679
Duke University · US

Funding

Using Machine Learning to Mitigate Reverberation Effects in Cochlear ImplantsR01DC014290 · NIDCD · DUKE UNIVERSITY · PI COLLINS, LESLIE M. · 2015 to 2019
$1.5M
Leveraging Natural Language Processing for Reverberant Speech Enhancement in Cochlear ImplantsR56DC020267 · NIDCD · DUKE UNIVERSITY · PI COLLINS, LESLIE M., HANSEN, JOHN H.L. · 2023 to 2023
$174k
NIDCD NIH HHS R01 DC014290NIDCD NIH HHS R56 DC020267
6 · The paper itself

Abstract

Cochlear implant recipients struggle to understand speech in reverberant environments. To restore speech perception, artifacts due to reverberant reflections can be removed from the cochlear implant stimulus by applying a matrix of gain values, a technique referred to as

Indexed as

Cochlear ImplantationCochlear ImplantsSpeech PerceptionAcoustic StimulationAlgorithmsArtifactsHumansPerceptual MaskingSpeech IntelligibilityACE processingCochlear ImplantsReverberationTime-frequency masking

Identifiers

PMID35875863
PMCPMC9611765
OpenAlexW3195326094

What OpenQuestion holds

Textmetadata
LicenceTDM
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.