Visual Sonority Modulates Infants’ Attraction to Sign Language

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Visual Sign Language Recognition

We have developed the Hand Motion Understanding (HMU) system that understands static and dynamic signs of the Australian Sign Language (Auslan). The HMU system uses a visual 3D hand tracker for motion sensing, and an adaptive fuzzy expert system for classification of the signs. This paper presents the hand tracker that extracts 3D hand configuration data with 21 degrees-of-freedom (DOFs) from a...

متن کامل

Visual cortex entrains to sign language.

Despite immense variability across languages, people can learn to understand any human language, spoken or signed. What neural mechanisms allow people to comprehend language across sensory modalities? When people listen to speech, electrophysiological oscillations in auditory cortex entrain to slow ([Formula: see text]8 Hz) fluctuations in the acoustic envelope. Entrainment to the speech envelo...

متن کامل

Sonority substitutions in language disorders

In this paper we consider a widely attested process: sonority substitutions whereby sounds of a certain sonority class change into sounds of another sonority class. These sonority substitutions concern, for example, liquids (/l,r/) changing into glides (/j,w/). The target word groen ‘green’ may be realized by an aphasic speaker as [xjUn] or [xwUn]. We will discuss these sonority substitutions i...

متن کامل

Robust Person-Independent Visual Sign Language Recognition

Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require robust algorithms for feature extraction and processing. We present a system that performs person-dependent recognition of 232 isolated signs with an accuracy of 99.3% in a controlled environment. Person-independent r...

متن کامل

Unsupervised Feature Learning for Visual Sign Language Identification

Prior research on language identification focused primarily on text and speech. In this paper, we focus on the visual modality and present a method for identifying sign languages solely from short video samples. The method is trained on unlabelled video data (unsupervised feature learning) and using these features, it is trained to discriminate between six sign languages (supervised learning). ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Language Learning and Development

سال: 2017

ISSN: 1547-5441,1547-3341

DOI: 10.1080/15475441.2017.1404468