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本文引用的文献

1
Co-registration of speech production datasets from electromagnetic articulography and real-time magnetic resonance imaging.基于电磁关节造影和实时磁共振成像的言语产生数据集的联合配准
J Acoust Soc Am. 2014 Feb;135(2):EL115-21. doi: 10.1121/1.4862880.
2
Paralinguistic mechanisms of production in human "beatboxing": a real-time magnetic resonance imaging study.人类“节奏口技”的副语言产生机制:一项实时磁共振成像研究。
J Acoust Soc Am. 2013 Feb;133(2):1043-54. doi: 10.1121/1.4773865.
3
Towards clinical assessment of velopharyngeal closure using MRI: evaluation of real-time MRI sequences at 1.5 and 3 T.使用 MRI 进行腭咽闭合功能的临床评估:1.5T 和 3T 实时 MRI 序列的评估。
Br J Radiol. 2012 Nov;85(1019):e1083-92. doi: 10.1259/bjr/32938996. Epub 2012 Jul 17.
4
Real-time MRI of speaking at a resolution of 33 ms: undersampled radial FLASH with nonlinear inverse reconstruction.33 毫秒分辨率的实时说话 MRI:带非线性逆重建的欠采样径向 FLASH。
Magn Reson Med. 2013 Feb;69(2):477-85. doi: 10.1002/mrm.24276. Epub 2012 Apr 12.
5
Real-time magnetic resonance imaging of normal swallowing.正常吞咽的实时磁共振成像。
J Magn Reson Imaging. 2012 Jun;35(6):1372-9. doi: 10.1002/jmri.23591. Epub 2012 Jan 23.
6
Flexible retrospective selection of temporal resolution in real-time speech MRI using a golden-ratio spiral view order.使用黄金比例螺旋视图顺序在实时语音 MRI 中灵活地回溯选择时间分辨率。
Magn Reson Med. 2011 May;65(5):1365-71. doi: 10.1002/mrm.22714. Epub 2010 Dec 16.
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Timing effects of syllable structure and stress on nasals: a real-time MRI examination.音节结构和重音对鼻音的时间效应:一项实时MRI检查
J Phon. 2009 Jan 1;37(1):97-110. doi: 10.1016/j.wocn.2008.10.002.
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Dynamic imaging of speech and swallowing with MRI.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6651-4. doi: 10.1109/IEMBS.2009.5332869.
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Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images.应用于上呼吸道实时磁共振图像的频域区域分割
IEEE Trans Med Imaging. 2009 Mar;28(3):323-38. doi: 10.1109/TMI.2008.928920.
10
Selection of a convolution function for Fourier inversion using gridding [computerised tomography application].选择卷积函数进行傅里叶反演的网格化方法 [计算机层析成像应用]。
IEEE Trans Med Imaging. 1991;10(3):473-8. doi: 10.1109/42.97598.

用于言语产生研究的实时磁共振成像和电磁关节造影数据库(TC)。

Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC).

作者信息

Narayanan Shrikanth, Toutios Asterios, Ramanarayanan Vikram, Lammert Adam, Kim Jangwon, Lee Sungbok, Nayak Krishna, Kim Yoon-Chul, Zhu Yinghua, Goldstein Louis, Byrd Dani, Bresch Erik, Ghosh Prasanta, Katsamanis Athanasios, Proctor Michael

机构信息

Signal Analysis and Interpretation Laboratory, University of Southern California, 3740 McClintock Avenue, Los Angeles, California 90089-2564.

Magnetic Resonance Engineering Laboratory, University of Southern California, 3740 McClintock Avenue, Los Angeles, California 90089-2564.

出版信息

J Acoust Soc Am. 2014 Sep;136(3):1307. doi: 10.1121/1.4890284.

DOI:10.1121/1.4890284
PMID:25190403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4165284/
Abstract

USC-TIMIT is an extensive database of multimodal speech production data, developed to complement existing resources available to the speech research community and with the intention of being continuously refined and augmented. The database currently includes real-time magnetic resonance imaging data from five male and five female speakers of American English. Electromagnetic articulography data have also been presently collected from four of these speakers. The two modalities were recorded in two independent sessions while the subjects produced the same 460 sentence corpus used previously in the MOCHA-TIMIT database. In both cases the audio signal was recorded and synchronized with the articulatory data. The database and companion software are freely available to the research community.

摘要

USC-TIMIT是一个广泛的多模态语音产生数据数据库,旨在补充语音研究界现有的资源,并不断完善和扩充。该数据库目前包括来自五名美国英语男性和五名美国英语女性的实时磁共振成像数据。目前也已从其中四名说话者那里收集了电磁关节造影数据。这两种模态是在两个独立的时段记录的,受试者说出了与之前MOCHA-TIMIT数据库中相同的460个句子语料库。在这两种情况下,音频信号都被记录下来并与发音数据同步。该数据库和配套软件可供研究界免费使用。