Evidence map›Paper›PMID 24286757›Full record

ArticleNeuroscience2014

Detection and identification of speech sounds using cortical activity patterns.

T M Centanni, A M Sloan, A C Reed, C T Engineer, R L Rennaker, M P Kilgard

Abstract read
In one paragraph

Article in Neuroscience, 2014. 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. Article
  3. Mice can learn phonetic categories.The Journal of the Acoustical Society of America · 2019
    Article
  4. Article
  5. Article
  6. Knockdown of Dyslexia-Gene Dcdc2 Interferes with Speech Sound Discrimination in Continuous Streams.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  7. Review
  8. Review
  9. Article
  10. 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

6 authors.

T M CentanniUniversity of Texas at Dallas, United States. Electronic address: tmcentanni@gmail.com.
A M SloanUniversity of Texas at Dallas, United States.
A C ReedUniversity of Texas at Dallas, United States.
C T EngineerUniversity of Texas at Dallas, United States.
R L RennakerUniversity of Texas at Dallas, United States.
M P KilgardUniversity of Texas at Dallas, United States.

Funding

Animal Model of Speech Sound Processing in AutismR01DC010433 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P · 2010 to 2014
$1.4M
NIDCD NIH HHS R01 DC010433NIDCD NIH HHS R01DC010433
6 · The paper itself

Abstract

We have developed a classifier capable of locating and identifying speech sounds using activity from rat auditory cortex with an accuracy equivalent to behavioral performance and without the need to specify the onset time of the speech sounds. This classifier can identify speech sounds from a large speech set within 40 ms of stimulus presentation. To compare the temporal limits of the classifier to behavior, we developed a novel task that requires rats to identify individual consonant sounds from a stream of distracter consonants. The classifier successfully predicted the ability of rats to accurately identify speech sounds for syllable presentation rates up to 10 syllables per second (up to 17.9 ± 1.5 bits/s), which is comparable to human performance. Our results demonstrate that the spatiotemporal patterns generated in primary auditory cortex can be used to quickly and accurately identify consonant sounds from a continuous speech stream without prior knowledge of the stimulus onset times. Improved understanding of the neural mechanisms that support robust speech processing in difficult listening conditions could improve the identification and treatment of a variety of speech-processing disorders.

Indexed as

Signal Processing, Computer-AssistedAcoustic StimulationAnimalsAuditory CortexAuditory PerceptionComputer SimulationDiscrimination, PsychologicalElectrodes, ImplantedFemaleNeuronsNeuropsychological TestsNormal DistributionPhoneticsRatsRats, Sprague-DawleySpeech PerceptionA1auditory cortexCFcharacteristic frequencyclassifiercodingconsonant–vowel–consonantCVCFMfrequency modulatedinfraredinter-stimulus-intervalIRISINMnormalized metricprimary auditory cortexratsound pressure levelSPLspssyllables per secondtemporal patterns

Identifiers

PMID24286757
PMCPMC3898816

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.