4th International Conference on Spoken Language Processing
Philadelphia, PA, USA
The paper illustrates a search strategy for continuous speech recognition based on the recently developed Fast Segmental Viterbi Algorithm (FSVA) , a new search strategy particularly effective for very large vocabulary word recognition. The FSVA search has been extended to deal with continuous speech using a network that merges a general lexical tree and a set of bigram subtrees generated on demand during the search. Results are given for a 751-words speaker independent spontaneous speech recognizer of a railway timetable inquiry application, managed by a dialog system. Preliminary tests have been performed on the Wall Street Journal 5K words 1992 evaluation set.
Bibliographic reference. Laface, Pietro / Fissore, Luciano / Maro, A. / Ravera, Franco (1996): "Segmental search for continuous speech recognition", In ICSLP-1996, 2155-2158.