@InProceedings{Höge2019_64,
<br/>   author = {Harald Höge},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2019},
<br/>   title = {Extraction of the Ɵ- and ɤ-cycles active in human speech processing  from an articulatory speech database},
<br/>   year = {2019},
<br/>   editor = {Peter Birkholz and Simon Stone},
<br/>   month = mar,
<br/>   pages = {68--75},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {For mimicking human articulatory  speech production and perception, en-trained Ɵ- oscillations, related to the rhythm of syllables, and nested ɤ- oscillations, related  to  the  starting  points  of  elementary  articulatory  gestures  (EAGs),  must  be modeled. To train and test articulatory speech synthesis and speech recognition sys-tems based on cortical principles, speech databases are needed, which are annotated by  EAGs  aligned  to Ɵ- and  ɤ-oscillations.  Due  to  the  limited  abilities  of  current technology  to  measure  neural  activities  in  the  cortex,  such  databases  are  not  availa-ble. The paper describes a noninvasive methodology working with a phonetic anno-tated articulatory speech database, to detect the EAGs and align them to cycles of Ɵ- and ɤ-oscillations. The methodology is based on the combination of two methods, a perceptive and an articulatory method. The perceptive method mimics the extraction of edge  features as  done  in  the  auditory  cortex  during  perception,  which  determine the duration and phase of each Ɵ-, and ɤ-cycle. The articulatory method uses the kin-ematics  of  the  movements  of  articulators,  recorded  by  electromagnetic  articulography,  to  determine  the  starting  points  of  EAGs.  The  starting  points  retrieved  are used to fine tune the Ɵ-, and ɤ-cycles estimated by the perceptive method.  The success of finding ‘correct’ ɤ-and Ɵ-cycles is measured on the consistency of the starting points of the instances of each EAG found in the database. },
<br/>   isbn = {978-3-959081-57-3},
<br/>   issn = {0940-6832},
<br/>   keywords = {Gehirn und kognitive Modelle},
<br/>   url = {https://www.essv.de/pdf/2019_68_75.pdf},
<br/>}