Read my points: Effect of animation type when speech-reading from EMA data

Kristy James; Martijn Wieling

Read my points: Effect of animation type when speech-reading from EMA data

Kristy James, Martijn Wieling

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

245 Downloads (Pure)

Abstract

Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.

Original language	English
Title of host publication	Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, August 2016, Berlin, Germany
Publisher	Association for Computational Linguistics (ACL)
Pages	87-92
Number of pages	6
Publication status	Published - 2016

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Read my points: Effect of animation type when speech-reading from EMA dataFinal publisher's version, 283 KBLicence: Taverne

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@inproceedings{78fe290da15c475bae7735b5562d73b5,

title = "Read my points: Effect of animation type when speech-reading from EMA data",

abstract = "Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.",

author = "Kristy James and Martijn Wieling",

year = "2016",

language = "English",

pages = "87--92",

booktitle = "Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, August 2016, Berlin, Germany",

publisher = "Association for Computational Linguistics (ACL)",

}

Read my points : Effect of animation type when speech-reading from EMA data. / James, Kristy; Wieling, Martijn.

Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, August 2016, Berlin, Germany. Association for Computational Linguistics (ACL), 2016. p. 87-92.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Read my points

T2 - Effect of animation type when speech-reading from EMA data

AU - James, Kristy

AU - Wieling, Martijn

PY - 2016

Y1 - 2016

N2 - Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.

AB - Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.

M3 - Conference contribution

SP - 87

EP - 92

BT - Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, August 2016, Berlin, Germany

PB - Association for Computational Linguistics (ACL)

ER -