Year: 2016
Type: dissertation
Abstract: An accurate mapping from speech acoustics to speech articulator movements has many practical applications, as well as theoretical implications of speech planning and perception science. This work can be divided into two parts. In the first part, we show that a simple codebook can be used to map acoustics to speech articulator movements in natural, conversational speech. In the second part, we incorporate cost optimization principles that have been shown to be relevant in motor control tasks into the codebook approach. These cost optimizations are defined as minimization of integral of magnitude velocity, acceleration and jerk of the speech articulators, and are implemented using a dynamic programming technique. Results show that incorporating cost minimization of speech articulator movements can significantly improve mapping acoustics to speech articulator movements. This suggests underlying physiological or neural planning principles used by speech articulators during speech production
Source: TSpace (University of Toronto)
Author: Rohan Bali
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2563780254