2002 · 11 citations · 5 references
EngineeringHuge Word GraphSpeech CorpusSpoken Language ProcessingSemantic WebGraph ProcessingWord GraphsText MiningSpeech RecognitionNatural Language ProcessingSemantic GraphComputational LinguisticsDp-based Wordgraph PruningMachine TranslationKnowledge DiscoveryComputer ScienceSpeech TechnologyGraph TheoryBusinessLanguage RecognitionSpeech ProcessingSpeech InputText ProcessingWord GraphLinguistics
We present an efficient technique of generating word graphs in a continuous speech recognition system. The word graph is constructed in two stages. In the first stage, a huge word graph is generated as a by-product of a beam-driven forward search. Based on a dynamic-programming (DP) method, this huge word graph will be pruned in the second stage using higher level knowledge, such as n-gram language models. In this pruning stage an edge is removed if there is no path going through this edge which is better scored as the best-scored path in the word graph. The proposed technique is evaluated in the German VERBMOBIL task.
5
Hy Murveit, John Butzberger, Vassilios Digalakis et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 1993 · 127 citations
Artificial Intelligence, Engineering, Spoken Language Processing +22