Evidence map›Paper›PMID 26370217›Full record

ArticlePsychonomic bulletin & review2016

Intuitive visualizations of pitch and loudness in speech.

Rebecca S Schaefer, Lilian J Beijer, Wiel Seuskens, Toni C M Rietveld, Makiko Sadakata

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2016. 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. Multilevel rhythms in multimodal communication.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    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

5 authors.

Rebecca S SchaeferHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands. r.s.schaefer@fsw.leidenuniv.nl.
Lilian J BeijerSint Maartenskliniek Research, Nijmegen, The Netherlands.
Wiel SeuskensSint Maartenskliniek Research, Nijmegen, The Netherlands.
Toni C M RietveldSint Maartenskliniek Research, Nijmegen, The Netherlands.
Makiko SadakataDonders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualizing acoustic features of speech has proven helpful in speech therapy; however, it is as yet unclear how to create intuitive and fitting visualizations. To better understand the mappings from speech sound aspects to visual space, a large web-based experiment (n = 249) was performed to evaluate spatial parameters that may optimally represent pitch and loudness of speech. To this end, five novel animated visualizations were developed and presented in pairwise comparisons, together with a static visualization. Pitch and loudness of speech were each mapped onto either the vertical (y-axis) or the size (z-axis) dimension, or combined (with size indicating loudness and vertical position indicating pitch height) and visualized as an animation along the horizontal dimension (x-axis) over time. The results indicated that firstly, there is a general preference towards the use of the y-axis for both pitch and loudness, with pitch ranking higher than loudness in terms of fit. Secondly, the data suggest that representing both pitch and loudness combined in a single visualization is preferred over visualization in only one dimension. Finally, the z-axis, although not preferred, was evaluated as corresponding better to loudness than to pitch. This relation between sound and visual space has not been reported previously for speech sounds, and elaborates earlier findings on musical material. In addition to elucidating more general mappings between auditory and visual modalities, the findings provide us with a method of visualizing speech that may be helpful in clinical applications such as computerized speech therapy, or other feedback-based learning paradigms.

Indexed as

AdultAgedFemaleHumansLoudness PerceptionMaleMiddle AgedPitch PerceptionSpeech PerceptionVisual PerceptionYoung AdultAudio-visual processingFeedback learningSpeech therapyVisualizing sound

Identifiers

PMID26370217
PMCPMC4828474

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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.