A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. | LitMetric

AI Article Synopsis

  • Real-time magnetic resonance imaging (RT-MRI) is enhancing research in speech science, linguistics, and speech technology, but access to such data is limited.
  • Existing raw multi-coil RT-MRI datasets for speech production are lacking, hindering research advancements like dynamic image reconstruction and feature extraction.
  • The provided dataset includes 2D RT-MRI videos, synchronized audio from 75 participants, and additional 3D and anatomical MRI scans, making it a valuable resource for advancing speech research.

Article Abstract

Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited, and comprehensive datasets with broad access are needed to catalyze research across numerous domains. The imaging of the rapidly moving articulators and dynamic airway shaping during speech demands high spatio-temporal resolution and robust reconstruction methods. Further, while reconstructed images have been published, to-date there is no open dataset providing raw multi-coil RT-MRI data from an optimized speech production experimental setup. Such datasets could enable new and improved methods for dynamic image reconstruction, artifact correction, feature extraction, and direct extraction of linguistically-relevant biomarkers. The present dataset offers a unique corpus of 2D sagittal-view RT-MRI videos along with synchronized audio for 75 participants performing linguistically motivated speech tasks, alongside the corresponding public domain raw RT-MRI data. The dataset also includes 3D volumetric vocal tract MRI during sustained speech sounds and high-resolution static anatomical T2-weighted upper airway MRI for each participant.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292336PMC
http://dx.doi.org/10.1038/s41597-021-00976-xDOI Listing

Publication Analysis

Top Keywords

speech production
12
speech
8
rt-mri data
8
rt-mri
5
multispeaker dataset
4
dataset raw
4
raw reconstructed
4
reconstructed speech
4
production real-time
4
real-time mri
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!