The talking cure
Speech-recognition software has been on the market for over a decade, and in the past five years it has become advanced enough to displace keyboard entry, for some users at least. But speech-recognition packages such as IBM's ViaVoice and ScanSoft's Dragon NaturallySpeaking require a powerful desktop computer. Ask a portable device to do the same kind of computational heavy-lifting, however, and its battery will be flat within minutes. Why would a chip-only solution be any better?
The reason is simple: doing something in software is more flexible, but doing the same thing with a dedicated chip consumes far less power. Computationally difficult tasks often start out in software, and are implemented in hardware later. “You do them in software first, because it's easier,” says Rob Rutenbar, professor of electrical and computer engineering at Carnegie Mellon and the lead engineer on the “In Silico Vox” speech-chip project. “You redo them in hardware later to maximise their performance.”














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