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Full-Text Articles in Medicine and Health Sciences
Brittany Bernal - Sensorimotor Adaptation Of Vowel Production In Stop Consonant Contexts, Brittany A. Bernal
Brittany Bernal - Sensorimotor Adaptation Of Vowel Production In Stop Consonant Contexts, Brittany A. Bernal
Ronald E. McNair Scholars Program 2013
The purpose of this research is to measure the compensatory and adaptive articulatory response to shifted formants in auditory feedback to compare the resulting amount of sensorimotor learning that takes place in speakers upon saying the words /pep/ and /tet/. These words were chosen in order to analyze the coarticulatory effects of voiceless consonants /p/ and /t/ on sensorimotor adaptation of the vowel /e/. The formant perturbations were done using the Audapt software, which takes an input speech sample and plays it back to the speaker in real-time via headphones. Formants are high-energy acoustic resonance patterns measured in hertz that …
Vowel Production In Mandarin Accented English And American English: Kinematic And Acoustic Data From The Marquette University Mandarin Accented English Corpus, An Ji, Jeffrey J. Berry, Michael T. Johnson
Vowel Production In Mandarin Accented English And American English: Kinematic And Acoustic Data From The Marquette University Mandarin Accented English Corpus, An Ji, Jeffrey J. Berry, Michael T. Johnson
Speech Pathology and Audiology Faculty Research and Publications
Few electromagnetic articulography (EMA) datasets are publicly available, and none have focused systematically on non-native accented speech. We introduce a kinematic-acoustic database of speech from 40 (gender and dialect balanced) participants producing upper-Midwestern American English (AE) L1 or Mandarin Accented English (MAE) L2 (Beijing or Shanghai dialect base). The Marquette University EMA-MAE corpus will be released publicly to help advance research in areas such as pronunciation modeling, acoustic-articulatory inversion, L1-L2 comparisons, pronunciation error detection, and accent modification training. EMA data were collected at a 400 Hz sampling rate with synchronous audio using the NDI Wave System. Articulatory sensors were placed …
Speech Sensorimotor Learning Through A Virtual Vocal Tract, Jeffrey J. Berry, Cassandra North, Benjamin Meyers, Michael T. Johnson
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 …