An interactive Hebbian account of lexically guided tuning of speech perception

An interactive Hebbian account of lexically guided tuning of speech perception.

We describe an account of lexically guided tuning of speech perception based on interactive processing and Hebbian learning. Interactive feedback provides lexical information to prelexical levels, and Hebbian learning uses that information to retune the mapping from auditory input to prelexical representations of speech. Simulations of an extension of the TRACE model of speech perception are pr...

Lexically guided retuning of letter perception.

Participants made visual lexical decisions to upper-case words and nonwords, and then categorized an ambiguous N-H letter continuum. The lexical decision phase included different exposure conditions: Some participants saw an ambiguous letter "?", midway between N and H, in N-biased lexical contexts (e.g., REIG?), plus words with unambiguous H (e.g., WEIGH); others saw the reverse (e.g., WEIG?, ...

Automatic Tuning of Interactive Perception Applications

Interactive applications incorporating high-data rate sensing and computer vision are becoming possible due to novel runtime systems and the use of parallel computation resources. To allow interactive use, such applications require careful tuning of multiple application parameters to meet required fidelity and latency bounds. This is a nontrivial task, often requiring expert knowledge, which be...

students perception of computerized toefl test

تحقیق حاضر به بررسی درک دانشجویان از مزایا و معایب آزمون های کامپیوتری تافل و تاثیر جنسیت بر درک آنها پرداخته است. شرکت کنندگان در این تحقیق 100 نفرزبان آموز مرد و زن بودند که در آزمون کامپیوتری تافل در ایران شرکت کرده بودند. پرسشنامه یی که در مورد مزایا و معایب آزمون های کامپیوتری در مقایسه با آزمون های کاغذی توسط محقق تهیه شده بود جهت تکمیل به این افراد ارایه شد. داده های بدست آمده در این مطا...

Journal of Experimental Psychology: Human Perception and Performance Lexically Guided Phonetic Retuning of Foreign-Accented Speech and Its Generalization