Generation and expansion of word graphs using long span context information

An algorithm for the generation of word graphs in a cross-word decoder that uses long span m-gram language models (LMs) is presented. The generation of word hypotheses within the graph relies on the word m-tuple-based boundary optimization. The graphs contain the full word history knowledge informat...

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Bibliographische Detailangaben

Hauptverfasser:	Neukirchen, C., Klakow, D., Aubert, X.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Context modeling Costs Decoding Gold Hidden Markov models History Laboratories Speech recognition Tree graphs
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