Attentional effects on rule extraction and consolidation from speech
نویسندگان
چکیده
منابع مشابه
Attentional effects on rule extraction and consolidation from speech
Incidental learning plays a crucial role in the initial phases of language acquisition. However the knowledge derived from implicit learning, which is based on prediction-based mechanisms, may become explicit. The role that attention plays in the formation of implicit and explicit knowledge of the learned material is unclear. In the present study, we investigated the role that attention plays i...
متن کاملthe effects of speech rate,prosodic features, and blurred speech on iranian efl learners listening comprehension
کلید واژه ها به زبان انگلیسی: effect of speech rate on listening comprehension, blurred speech,segmental and suprasegmental features,authentic speech,intelligibility, discrimination, omission, assimilation چکیده: سرعت مطالب شنیداری در کلام پیوسته بطور کلی همواره کابوسی بوده برای یادگیرنده های زبان دوم و بالاخص برای شنوندگان ایرانی. علی رغم عقل سلیم که کلام با سرعت کندتری فعالیتهای درک مطلب شن...
15 صفحه اولDifferent Neurophysiological Mechanisms Underlying Word and Rule Extraction from Speech
The initial process of identifying words from spoken language and the detection of more subtle regularities underlying their structure are mandatory processes for language acquisition. Little is known about the cognitive mechanisms that allow us to extract these two types of information and their specific time-course of acquisition following initial contact with a new language. We report time-r...
متن کاملBrain Dynamics Sustaining Rapid Rule Extraction from Speech
Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key r...
متن کاملSpeech analysis by rule extraction from trained artificial neural networks
A recent development in feature extraction is the use of neural network feature extractors, where the parameterized signal is passed through a neural network trained to discriminate between targets representing e.g. different phone classes or speakers. While the transformed feature representation often enhances class discriminability and thereby overall performance, the transformation performed...
متن کاملذخیره 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: Cognition
سال: 2016
ISSN: 0010-0277
DOI: 10.1016/j.cognition.2016.03.016