False alarm reduction in speech recognition systems using contextual information
AssigneeInteractive Intelligence, Inc.
InventorsKonstantin Biatov, Aravind Ganapathiraju, Felix Immanuel Wyss
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AssigneeInteractive Intelligence, Inc.
InventorsKonstantin Biatov, Aravind Ganapathiraju, Felix Immanuel Wyss
Estimating the term…
A system and method are presented for using spoken word verification to reduce false alarms by exploiting global and local contexts on a lexical level, a phoneme level, and on an acoustical level. The reduction of false alarms may occur through a process that determines whether a word has been detected or if it is a false alarm. Training examples are used to generate models of internal and external contexts which are compared to test word examples. The word may be accepted or rejected based on comparison results. Comparison may be performed either at the end of the process or at multiple steps of the process to determine whether the word is rejected.
A computer-implemented method of reducing false alarms in a speech recognition system, the method comprising the steps of:
A computer-implemented method of reducing false alarms in a speech recognition system, the method comprising the steps of:
A computer-implemented method of reducing false alarms in a speech recognition system, the method comprising the steps of:
A system for reducing false alarms in a speech recognition system comprising:
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