An adaptive neural control scheme for articulatory synthesis of CV sequences |
| |
| Affiliation: | 1. Department of Clinical Psychology, Universidad de Granada, 18071 Granada, Spain;2. Cognitive Neuroscience Unit, School of Psychology, Deakin University, Building BC, Burwood Campus, 221 Burwood Hwy, VIC 3125, Australia;3. Red de Trastornos Adictivos, Universidad de Granada, Spain;4. Centro Provincial de Drogodependencias, Calle San Juan de Dios, 11. Hospital de San Juan de Dios, 18001 Granada, Spain;5. Department of Psychology, Universidad de Huelva, Facultad de Ciencias de la Educación Campus de El Carmen, Avenida de las Fuerzas Armadas, S/N, 21071 Huelva, Spain;6. School of Psychological Sciences, Monash University, 3800 Wellington Road, Melbourne, Australia |
| |
| Abstract: | Reproducing the smooth vocal tract trajectories is critical for high quality articulatory speech synthesis. This paper presents an adaptive neural control scheme for such a task using fuzzy logic and neural networks. The control scheme estimates motor commands from trajectories of flesh-points on selected articulators. These motor commands are then used to reproduce the trajectories of the underlying articulators in a 2nd order dynamical system. Initial experiments show that the control scheme is able to manipulate the mass-spring based elastic tract walls in a 2-dimensional articulatory synthesizer and to realize efficient speech motor control. The proposed controller achieves high accuracy during on-line tracking of the lips, the tongue, and the jaw in the simulation of consonant–vowel sequences. It also offers salient features such as generality and adaptability for future developments of control models in articulatory synthesis. |
| |
| Keywords: | Articulatory synthesis Speech motor control Neural networks Fuzzy logic Mass spring damper |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
