Jean-Manuel Thong - Arlington MA, US Ernest Pusateri - Cambridge MA, US
Assignee:
Compaq Information Technologies Group, L.P.
International Classification:
G10L015/00
US Classification:
704/254000
Abstract:
A computer-based detection (e.g. speech recognition) system combines a word decoder and subword decoder to detect words (or phrases) in a spoken input provided by a user into a speaker connected to the detection system. The word decoder detects words by comparing an input pattern (e.g., of hypothetical word matches) to reference patterns (e.g., words). The subword decoder compares an input pattern (e.g. hypothetical word matches based on subword or phoneme recognition) to reference patterns (e.g., words) based on a word pronunciation distance measure that indicates how close each input pattern is to matching each reference pattern. The word decoder and subword decoder each provide an N-best list of hypothetical matches to the spoken input. A list fusion module of the detection system selectively combines the two N-best lists to produce a final or combined N-best list.
Nuance Communications since Dec 2012
Research Engineer
Nuance Communications Jun 2011 - Dec 2012
Research Manager
Nuance Communications May 2008 - Jun 2011
Research Scientist
eScription Apr 2004 - May 2008
Software Engineer/Research Scientist
Education:
Massachusetts Institute of Technology 2000 - 2004
MS, Electrical Engineering and Computer Science
Carnegie Mellon University 1996 - 2000
BS, Electrical and Computer Engineering