Evidence map›Paper›PMID 32828921›Full record

ArticleNeuroImage2020

Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception.

Enea Ceolini, Jens Hjortkjær, Daniel D E Wong, James O'Sullivan, Vinay S Raghavan, Jose Herrero, Ashesh D Mehta, Shih-Chii Liu, Nima Mesgarani

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Acoustic Scene-Aware Processing and Auditory Model-Based Compensation Strategies.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Review
  3. From Selective Listening to Brain-Controlled Hearing: A Perspective on the Future of Auditory Technology.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

9 authors.

Enea CeoliniUniversity of Zürich and ETH Zürich, Institute of Neuroinformatics, Switzerland. Electronic address: enea.ceolini@ini.uzh.ch.
Jens HjortkjærDepartment of Health Technology, Danmarks Tekniske Universitet DTU, Kongens Lyngby, Denmark; Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Daniel D E WongLaboratoire des Systèmes Perceptifs, CNRS, UMR 8248, Paris, France; Département d'Études Cognitives, École Normale Supérieure, PSL Research University, Paris, France.
James O'SullivanDepartment of Electrical Engineering, Columbia University, New York, NY, USA; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Vinay S RaghavanDepartment of Electrical Engineering, Columbia University, New York, NY, USA; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Jose HerreroDepartment of Neurosurgery, Hofstra-Northwell School of Medicine and Feinstein Institute for Medical Research, Manhasset, New York, NY, USA.
Ashesh D MehtaDepartment of Neurosurgery, Hofstra-Northwell School of Medicine and Feinstein Institute for Medical Research, Manhasset, New York, NY, USA.
Shih-Chii LiuUniversity of Zürich and ETH Zürich, Institute of Neuroinformatics, Switzerland.
Nima MesgaraniDepartment of Electrical Engineering, Columbia University, New York, NY, USA; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA. Electronic address: nima@ee.columbia.edu.

Funding

Neurophysiology of robust speech perception in human superior temporal gyrusR01DC014279 · NIDCD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Nima MESGARANI · 2015 to 2026
$5.3M
Neurophysiology of auditory emotion recognition in the human brainR21MH114166 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MEHTA, ASHESH DINESH · 2017 to 2018
$456k
NIDCD NIH HHS R01 DC014279NIMH NIH HHS R21 MH114166
6 · The paper itself

Abstract

Hearing-impaired people often struggle to follow the speech stream of an individual talker in noisy environments. Recent studies show that the brain tracks attended speech and that the attended talker can be decoded from neural data on a single-trial level. This raises the possibility of "neuro-steered" hearing devices in which the brain-decoded intention of a hearing-impaired listener is used to enhance the voice of the attended speaker from a speech separation front-end. So far, methods that use this paradigm have focused on optimizing the brain decoding and the acoustic speech separation independently. In this work, we propose a novel framework called brain-informed speech separation (BISS)

Indexed as

ElectroencephalographySignal Processing, Computer-AssistedSpeech AcousticsAcoustic StimulationAdultAlgorithmsBrainDeep LearningHearing LossHumansMiddle AgedSpeech PerceptionCognitive controlDeep learningEEGHearing aidNeuro-steeredSpeech separation

Identifiers

PMID32828921
PMCPMC8056438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.