Evidence map›Paper›PMID 32611137›Full record

ArticleThe Journal of the Acoustical Society of America2020

Spectro-temporal weighting of interaural time differences in speech.

Lucas S Baltzell, Adrian Y Cho, Jayaganesh Swaminathan, Virginia Best

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 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
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Spectral weighting functions for lateralization and localization of complex sound.The Journal of the Acoustical Society of America · 2022
    Article
  9. High-resolution temporal weighting of interaural time differences in speech.The Journal of the Acoustical Society of America · 2021
    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

4 authors at 1 institution in 1 country.

Lucas S BaltzellDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.
Adrian Y ChoDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.
Jayaganesh SwaminathanDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.
Virginia BestDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Avenue, Boston, Massachusetts 02215, USA.ORCID s0000000255355736
Boston University · US

Funding

Spatial Hearing in Speech MixturesR01DC015760 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Virginia Ann Best · 2017 to 2026
$3.6M
NIDCD NIH HHS R01 DC015760
6 · The paper itself

Abstract

Numerous studies have demonstrated that the perceptual weighting of interaural time differences (ITDs) is non-uniform in time and frequency, leading to reports of spectral and temporal "dominance" regions. It is unclear however, how these dominance regions apply to spectro-temporally complex stimuli such as speech. The authors report spectro-temporal weighting functions for ITDs in a pair of naturally spoken speech tokens ("two" and "eight"). Each speech token was composed of two phonemes, and was partitioned into eight frequency regions over two time bins (one time bin for each phoneme). To derive lateralization weights, ITDs for each time-frequency bin were drawn independently from a normal distribution with a mean of 0 and a standard deviation of 200 μs, and listeners were asked to indicate whether the speech token was presented from the left or right. ITD thresholds were also obtained for each of the 16 time-frequency bins in isolation. The results suggest that spectral dominance regions apply to speech, and that ITDs carried by phonemes in the first position of the syllable contribute more strongly to lateralization judgments than ITDs carried by phonemes in the second position. The results also show that lateralization judgments are partially accounted for by ITD sensitivity across time-frequency bins.

Indexed as

Sound LocalizationSpeech PerceptionAcoustic StimulationSpeech

Identifiers

PMID32611137
PMCPMC7297545
OpenAlexW3034802426

What OpenQuestion holds

Textmetadata
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.