Evidence map›Paper›PMID 40216747›Full record

ArticleScientific data2025

An Audio-Ultrasound Synchronized Database of Tongue Movement for Mandarin speech.

Yudong Yang, Rongfeng Su, Shaofeng Zhao, Jianguo Wei, Manwa Lawrence Ng, Nan Yan, Lan Wang

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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. 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

7 authors.

Yudong Yang *Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Rongfeng Su *Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-7228-5768
Shaofeng ZhaoDepartment of Rehabilitation Medicine, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Jianguo WeiCollege of Intelligence and Computing, Tianjin University, Tianjin, China.
Manwa Lawrence NgSpeech Science Laboratory, Faculty of Education, University of Hong Kong, Hong Kong SAR, China.
Nan YanGuangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. nan.yan@siat.ac.cn.
Lan WangGuangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. lan.wang@siat.ac.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) NSFC 62271477National Natural Science Foundation of China (National Science Foundation of China) U23B2018
6 · The paper itself

Abstract

Ultrasound imaging has been widely adopted in speech research to visualize dynamic tongue movements during speech production. These images are universally used as visual feedback in interventions for articulation disorders or visual cues in speech recognition. Nevertheless, the availability of high-quality audio-ultrasound datasets remains scarce. The present study, therefore, aims to construct a multimodal database designed for Mandarin speech. The dataset integrates synchronized ultrasound images of lingual movement, and the corresponding audio recordings and text annotations elicited from 43 healthy speakers and 11 patients with dysarthria through speech tasks (including vowels, monosyllables, and sentences), with a total duration of 22.31 hours. In addition, a customized helmet structure was employed to stabilize the ultrasound probe, precisely controlling for head movement and minimizing displacement interference, The proposed database carries apparent values in automatic speech recognition, silent interface development, and research in speech pathology and linguistics.

Indexed as

SpeechTongueDatabases, FactualDysarthriaHumansLanguageMovementUltrasonography

Identifiers

PMID40216747
PMCPMC11992241

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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.