Speech motor control

Area of Science:

• Speech motor control research.
• Biomechanics of speech production.
• Computational linguistics and phonetics.

Background:

• Significant advancements in understanding speech motor control.
• Emerging use of electromagnetic transduction for tongue movement recording.
• Application of non-linear dynamics to model laryngeal vibrations.

Purpose of the Study:

• To review recent advancements in speech motor control research.
• To highlight novel measurement techniques and computational models.
• To discuss the synthesis of kinematic data through connectionist models.

Main Methods:

• Electromagnetic transduction techniques for tongue movement analysis.
• Non-linear dynamics for modeling laryngeal vibrations.
• Development and testing of computational models for supraglottal movements.

Main Results:

• Improved understanding of speech motor control through new techniques.
• Successful modeling of laryngeal and supraglottal movements.
• Proposal of a connectionist model integrating kinematic variations.

Conclusions:

• Technological and modeling advancements are crucial for speech motor control.
• Integration of diverse techniques provides a comprehensive view of speech production.
• Connectionist models offer a promising approach to synthesizing speech kinematics.