গুগলের সার্চ রেজাল্ট থেকে পাওয়া একটা পেজের কিছু অংশ তুলে দিচ্ছি।লিঙ্কঃ
http://www.dacs.dtic.mil/techs/neural/neural10.htmlQUOTE
How Artificial Neural Networks Are Being Used
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6.1 Language Processing
Language processing encompasses a wide variety of applications. These applications include text-to-speech conversion, auditory input for machines, automatic language translation, secure voice keyed locks, automatic transcription, aids for the deaf, aids for the physically disabled which respond to voice commands, and natural language processing.
Many companies and universities are researching how a computer, via ANNs, could be programmed to respond to spoken commands. The potential economic rewards are a proverbial gold mine. If this capability could be shrunk to a chip, that chip could become part of almost any electronic device sold today. Literally hundreds of millions of these chips could be sold.
This magic-like capability needs to be able to understand the 50,000 most commonly spoken words. Currently, according to the academic journals, most of the hearing-capable neural networks are trained to only one talker. These one-talker, isolated-word recognizers can recognize a few hundred words. Within the context of speech, with pauses between each word, they can recognize up to 20,000 words.
Some researchers are touting even greater capabilities, but due to the potential reward the true progress, and methods involved, are being closely held. The most highly touted, and demonstrated, speech-parsing system comes from the Apple Corporation. This network, according to an April 1992 Wall Street Journal article, can recognize most any person's speech through a limited vocabulary.
This works continues in Corporate America (particularly venture capital land), in the universities, and in Japan.
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