Speech recognition apparatus and method
Integrated processing unit, particularly for connected speech recognition systems
Efficient pruning algorithm for hidden markov model speech recognition
Speech recognition system with efficient storage and rapid assembly of phonological graphs Patent #: 4980918
ApplicationNo. 648097 filed on 01/31/1991
US Classes:704/200, SPEECH SIGNAL PROCESSING704/243Creating patterns for matching
ExaminersPrimary: Knepper, David D.
Attorney, Agent or Firm
International ClassesG10L 003/00
AbstractAn automatic speech recognition methodology takes advantage of linguistic constraints wherein words are modeled as probabilistic networks of phonetic segments (herein phones), and each phone is represented as a context-independent hidden Markov phone model mixed with a number of context-dependent phone models. Recognition is based on use of methods to design phonological rule sets based on measures of coverage and overgeneration of pronunciations which achieves high coverage of pronunciations with compact representations. Further, a method estimates probabilities of the different possible pronunciations of words. A further method models cross-word coarticulatory effects. In a specific embodiment of the system, a specific method determines the single most-likely pronunciation of words. In further specific embodiments of the system, methods generate speaker-dependent pronunciation networks.