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Here is an interesting article on voice recognition.  A Live connection could enable incredibly accurate voice recognition.

http://www.msnbc.msn.com/id/36151627/ns/technology_and_science-tech_and_gadgets/

 

Now, the availability of 3G-enabled mobile devices with fast, always-on Internet connections and the ability to train voice-modeling software with millions of phone users — a process called crowd sourcing — is helping fuel a new breed of mobile speech-recognition apps that work quickly and are amazingly accurate.

 

 

 

 

"The power of the masses
Mobile voice-recognition apps also have other advantages over their older desktop counterparts.

One is the ability to communicate with powerful central computers, or servers, that can combine information from millions of users and then make broad generalizations that help improve the apps' overall ability to recognize words.

"The first time you speak to the phone, we put a cookie" — a kind of digital tag — "on your device and when you say something we call up your personal language model from our servers and use it to get better accuracy," said Dave Grannen, president and CEO of speech recognition software maker Vlingo, which also has an app for the iPhone.

An individual's voice model contains information about his accent and unique way of pronouncing certain words, among other things.

The servers can combine the voice models of several speakers who have similar accents to improve the accuracy for that population.

"If you're from India and speaking English as a second language on Vlingo, we work pretty darned well. If you're from Germany speaking English, it doesn't work so well," Grannan told TechNewsDaily.

The reason? Vlingo has many more Indian-speaking users that German-speaking ones, so the voice model for Indians is generally better than that for Germans."