Press release article from our research archive:

Processing Power of Voice Recognition Technologies Requires Enhancement for Continuous Speech Recognition.

LONDON, September 12 /PRNewswire/ -- Considered unviable until recently, the real-time speech recognition technology currently used in voice portals consumes immense processing power. The computation-intensive Hidden Markov Model (HMM) technology of the mid-1980s improved the ability of voice recognition devices to identify word relationships and ultimately led to the developing of powerful speech-recognition applications.

For systems to understand and respond to continuous speech, manufacturers have to arrange for availability of a large amount of processing power. However, this will not be possible at reasonable costs.

When users speak at natural speed, it becomes ...

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