DocumentCode :
180432
Title :
The Electromagnetic Articulography Mandarin Accented English (EMA-MAE) corpus of acoustic and 3D articulatory kinematic data
Author :
An Ji ; Berry, J.J. ; Johnson, Matthew Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
7719
Lastpage :
7723
Abstract :
There is a significant need for more comprehensive electromagnetic articulography (EMA) datasets that can provide matched acoustics and articulatory kinematic data with good spatial and temporal resolution. The Marquette University Electromagnetic Articulography Mandarin Accented English (EMA-MAE) corpus provides kinematic and acoustic data from 40 gender and dialect balanced speakers representing 20 Midwestern standard American English L1 speakers and 20 Mandarin Accented English (MAE) L2 speakers, half Beijing region dialect and half are Shanghai region dialect. Three dimensional EMA data were collected at a 400 Hz sampling rate using the NDI Wave system, with articulatory sensors on the midsagittal lips, lower incisors, tongue blade and dorsum, plus lateral lip corner and tongue body. Sensors provide three-dimensional position data as well as two-dimensional orientation data representing the orientation of the sensor plane. Data have been corrected for head movement relative to a fixed reference sensor and also adjusted using a biteplate calibration system to place the data in an articulatory working space relative to each subject´s individual midsagittal and maxillary occlusal planes. Speech materials include isolated words chosen to focus on specific contrasts between the English and Mandarin languages, as well as sentences and paragraphs for continuous speech, totaling approximately 45 minutes of data per subject. A beta version of the EMA-MAE corpus is now available, and the full corpus is in preparation for public release to help advance research in areas such as pronunciation modeling, acoustic-articulatory inversion, L1-L2 comparisons, pronunciation error detection, and accent modification training.
Keywords :
acoustic signal processing; speaker recognition; speech processing; 3D articulatory kinematic data; Beijing region dialect; English languages; Mandarin accented english L2 speakers; Mandarin languages; Marquette University; Midwestern standard American english L1 speakers; NDI wave system; Shanghai region dialect; accent modification training; acoustic data; acoustic-articulatory inversion; articulatory sensors; biteplate calibration system; dialect balanced speakers; electromagnetic articulography Mandarin accented english; electromagnetic articulography datasets; frequency 400 Hz; pronunciation error detection; three-dimensional position data; two-dimensional orientation data; Acoustics; Calibration; Electromagnetics; Kinematics; Sensors; Speech; Tongue; Articulator motion; Electromagnetic Articulography; English-Mandarin contrasts; non-native speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6855102
Filename :
6855102
Link To Document :
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