Think! what kind of data have would you have to give and with which information would it be connected? who would decide which advertisment is the right one for you? where would the information be stored and for how long? who would be in control of all of this and what would his objectives be?
Read closely. The target of this research is not to improve speech technology itself, but rather that current speech recognition technology can run on devices with limited capacities (e.g. cell phones and PDAs).
To improve speech recognition technology itself you do not need more computing power, you need a totally new approach. The current approach based on propabilities of word combinations and hidden markov models can work fine for narrow applications, like dictating medical reports that follow a certain model, but comes quickly to its limit in a totally open environment.
And we are talking here just about the speech to text aspect. Forget anything about the computer trying to understand the meaning, apart from simple command and control.
Slashdot Mirror
The relative contrast is in the attitude of the game producer towards stealing in the virtual and in the real world .....
Think!
what kind of data have would you have to give and with which information would it be connected?
who would decide which advertisment is the right one for you?
where would the information be stored and for how long?
who would be in control of all of this and what would his objectives be?
True, but also other factors need to be taken into account, especially the kind of fat and oil used in Germany and France.
......
To clarify this issue a study would be needed comparing for example the cardiac illnesses of french wine and beer drinkers
Would a tube of that size and strength not cut easily through many kinds of different materials like a hot knife through butter?
Would make one-hell of a cutting device, many different uses come to mind, but might be a bit dangerous to handle.
Or am I completely off track?
Read closely. The target of this research is not to improve speech technology itself, but rather that current speech recognition technology can run on devices with limited capacities (e.g. cell phones and PDAs).
To improve speech recognition technology itself you do not need more computing power, you need a totally new approach. The current approach based on propabilities of word combinations and hidden markov models can work fine for narrow applications, like dictating medical reports that follow a certain model, but comes quickly to its limit in a totally open environment.
And we are talking here just about the speech to text aspect. Forget anything about the computer trying to understand the meaning, apart from simple command and control.