05-06-2012, 12:40 PM
Speech Recognition and its clinical applications
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Speech recognition
Speech Recognition are technologies of particular interest, for their support of direct communication between humans and computers, through a communications mode, humans commonly use among themselves and at which they are highly skilled.
Timeline of Speech recognition
1936 - AT & T’s Bell labs started study of speech recognition (funded by DARPA)
1974 - optical character recognition
1975 – text to speech synthesis ( Kurzweil reading machine)
1978 – speak and spell toy released by Texas Instruments
1980 – Xerox started producing reading machine Text bridge
1997 – Dragon Systems produces first continuous speech recognition product
Challenges of speech recognition
Ease of use
Robust performance
Automatic learning of new words and sounds
Grammar for spoken language
Control of synthesized voice quality
Integrated learning for speech recognition and synthesis
Why develop SpeechActs?
Integrated conversational applications
No specialized language expertise
Technology independence
SpeechActs - Framework
Audio server presents raw digitized audio to speech recognizer
Swiftus parses the word list to produce a set of feature-value pairs
Discourse manager maintains a stack of information about the current conversation
Discourse manager and application respond to the user by sending a text string to ‘text to speech manager’
