DECIPHER

SRI's DECIPHER technology can recognize natural, continuous speech without requiring the user to train the system in advance (i.e., speaker-independent recognition).

The DECIPHER system exhibits strong performance in government-administered tests and can be distinguished from the few other leading-edge speech recognition technologies by its detailed modeling of variations in pronunciation and its robustness to background noise and channel distortion.

These features make the DECIPHER system accurate in recognizing spontaneous speech of different dialects and less dependent on the idiosyncrasies of different microphones and acoustic environments.

Past and current projects based on DECIPHER technology are

• LVCSR - conversational telephone speech recognition
• SPINE - speech recognition in noisy environments
• Word spotting
• GALE - broadcast speech recognition
• Meeting recognition
• Speaker recognition