Engineering class

Speech and Signal Processing Lab

EMA projects

EAGER: Acoustic-Articulator Modeling for Pronunciation Analysis, NSF IIS-1142826

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 subjectís 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.

The EMA-MAE dataset was collected in Marquette's Speech and Swallowing Lab, directed by Professor Jeffrey Berry, using an NDI Wave System .

See the following publication for more details:

EMA-MAE dataset Download Coming soon

The EMA-MAE dataset IS currently available to researchers in this area. Please email Dr. Mike Johnson to request a copy of the data.


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