Communication Sciences and Disorders Commons^™

Speech Sensorimotor Learning Through A Virtual Vocal Tract, Jeffrey J. Berry, Cassandra North, Benjamin Meyers, Michael T. Johnson

Speech Pathology and Audiology Faculty Research and Publications

Studies of speech sensorimotor learning often manipulate auditory feedback by modifying isolated acoustic parameters such as formant frequency or fundamental frequency using near real-time resynthesis of a participant's speech. An alternative approach is to engage a participant in a total remapping of the sensorimotor working space using a virtual vocal tract. To support this approach for studying speech sensorimotor learning we have developed a system to control an articulatory synthesizer using electromagnetic articulography data. Articulator movement data from the NDI Wave System are streamed to a Maeda articulatory synthesizer. The resulting synthesized speech provides auditory feedback to the participant. This …