From No To Know ™ English
i-Lingua ™ Language Teaching Software is a full phonetic, lexical and grammar multi-media reference training source, assigned for those (regardless of their initial level of knowledge) who want to learn to understand colloquial speech and speak grammatically correct, with good distinct pronunciation (variant “BBC”), that is the norm of speech [...]
From No To Know ™ English
i-Lingua ™ Language Teaching Software is a full phonetic, lexical and grammar multi-media reference training source, assigned for those (regardless of their initial level of knowledge) who want to learn to understand colloquial speech and speak grammatically correct, with good distinct pronunciation (variant “BBC”), that is the norm of speech [...]
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Keeps you engaged at an optimum level to facilitate effective language learning.
Recognition of a set of determined commands: Speech control of household devices such as the television or the VCR will replace the remote control. This technology would also strongly facilitate access to the internet through the mobile (WAP). Recognition of natural speech: will replace the use of a keyboard to control the computer.
Reduces the volume of data required and thus the cost of speech transmission – crucial for operators of all sorts of telephone and voice mail networks.
Determination of an individual through its voice as a safety device for access to rooms, data etc. Applications range from access restrictions within companies to WAP banking.
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i-Lingua ™ Language Teaching Software is a full phonetic, lexical and grammar multi-media reference training source, assigned for those (regardless of their initial level of knowledge) who want to learn to understand colloquial speech and speak grammatically correct, with good distinct pronunciation (variant “BBC”), that is the norm of speech on the English television.
The training is based on the comparison your own pronunciation with the sample not only orally, but also visually, by graphic on the screen of the monitor, that has become possible thanks to the original technologies of extraction and recognition of sound parts of word’s phonemes.
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