Paper: A Large-Vocabulary Continuous Speech Recognition Algorithm And Its Application To A Multi-Modal Telephone Directory Assistance System

ACL ID H94-1077
Title A Large-Vocabulary Continuous Speech Recognition Algorithm And Its Application To A Multi-Modal Telephone Directory Assistance System
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

This paper describes an accurate and efficient algorithm for very-large-vocabulary continuous speech recognition based on an HMM-LR algorithm. The HMM-LR algorithm uses a generalized LR parser as a language model and hidden Markov models (HMMs) as phoneme models. To reduce the search space without pruning the correct candidate, we use forward and backward trellis likelihoods, an adjusting win- dow for choosing only the probable part of the trellis for each predicted phoneme, and an algorithm for merging candi- dates that have the same allophonic phoneme sequences and the same context-free grammar states. Candidates are also merged at the meaning level. This algorithm is applied to a telephone directory assistance system that recognizes spon- taneous speech containing the names and addresse...