TL;DR: This article proposed a set of automatic stress exaggeration methods that can enlarge the differences between stressed and unstressed syllables, which can be used in computer-aided language learning systems to assist second language learners perceive stress patterns.
Abstract: In this paper, we propose a set of automatic stress exaggeration methods that can enlarge the differences between stressed and unstressed syllables. Our stress exaggeration methods can be used in computer-aided language learning systems to assist second language learners perceive stress patterns. The intention of our automatic stress exaggeration methods is to support hyper-pronunciation training which is commonly used in classrooms by teachers. In hyper-pronunciation training, exaggeration is used to help learners increase their awareness of acoustic features and effectively apply these features into their pronunciation. Duration, pitch and intensity have been claimed to be the main acoustic features that are closely related to stress in English language. Thus, four stress exaggeration methods are proposed in this paper: (i) duration-based stress exaggeration, (ii) pitch-based stress exaggeration, (iii) intensity-based stress exaggeration, and (iv) a combined stress exaggeration method that integrates the duration-based, pitch-based and intensity-based exaggeration methods. Our perceptual experimental results show that resynthesised stimuli by our proposed stress exaggerated methods can help learners of English as a Second Language (ESL) better perceive English stress patterns significantly.
TL;DR: In this paper, a comic exaggeration method, device and system for a human face digital image supporting posture deflection is presented, which consists of restoring the approximate depth information of a two-dimensional characteristic point of an input human face image according to a pre-established three-dimensional average face shape model.
Abstract: The embodiment of the invention provides a comic exaggeration method, device and system for a human face digital image supporting posture deflection. The method comprises the following steps of: restoring the approximate depth information of a two-dimensional characteristic point of an input human face image according to a pre-established three-dimensional average face shape model; generating thethree-dimensional shape of the input human face image according to the approximate depth information; performing three-dimensional exaggeration on the three-dimensional shape which is rotated to a front view according to a three-dimensional exaggeration rule in a pre-established nonnegative matrix decomposition based human face three-dimensional shape characteristic space to obtain a three-dimensional shape subjected to three-dimensional exaggeration; converting the three-dimensional shape subjected to three-dimensional exaggeration into the initial posture of the input human face image and projecting to generate a two-dimensional characteristic point subjected to three-dimensional exaggeration; and generating a human face image with a comic exaggeration effect according to the two-dimensional characteristic point subjected to three-dimensional exaggeration. By adopting the method, a vivid, humorous and variable comic exaggeration effect can be achieved on the human face image which is deflected by +/-40 degrees in a swinging way and deflected by +/-20 degrees in a pitching way.