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. 2017 Jan;141(1):EL57.
doi: 10.1121/1.4973907.

Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation

William F Katz  1 , Sonya Mehta  1 , Matthew Wood  1 , Jun Wang  2
Affiliations

Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation

William F Katz et al. J Acoust Soc Am. 2017 Jan.

Abstract

This study examined the contributions of the tongue tip (TT), tongue body (TB), and tongue lateral (TL) sensors in the electromagnetic articulography (EMA) measurement of American English alveolar consonants. Thirteen adults produced /ɹ/, /l/, /z/, and /d/ in /ɑCɑ/ syllables while being recorded with an EMA system. According to statistical analysis of sensor movement and the results of a machine classification experiment, the TT sensor contributed most to consonant differences, followed by TB. The TL sensor played a complementary role, particularly for distinguishing /z/.

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Figures

Fig. 1.
Fig. 1.
(Color online) EMA recording system (left) and close-up showing tongue midline and lateral sensors. Sensors were also attached to the UL and LL. Reference sensors attached to a pair of glasses were used to eliminate head movement and to establish a local reference plane.
Fig. 2.
Fig. 2.
(Color online) Representative examples of averaged 3D motion paths of the TT, TB, and TL sensors for ten repetitions of ra, la, za, and da spoken by two talkers. Distances are in mm. The ra patterns (boldest lines) differ qualitatively between the two talkers, suggesting more of a bunched pattern in (a) than in (b).
Fig. 3.
Fig. 3.
Example of data selection for CV portions of kinematic signal (based on acoustic consonant onset and offset) and for the /ɡ/ of game. Vertical lines on the acoustic waveform (top panel) indicate onset and offset cutoffs that correspond with TT and TB vertical movement peaks (shown below).
See this image and copyright information in PMC

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