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Generating Exact Lattices in The WFST Framework
Type of publication: Conference paper
Citation: Povey_ICASSP_2012
Publication status: Published
Booktitle: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing.
Year: 2012
Month: May
Pages: 4213-4216
Publisher: IEEE Signal Processing Societ
Location: Kyoto, Japan
Organization: The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP
ISBN: 978-1-4673-0044-5
DOI: 10.1109/ICASSP.2012.6288848
Abstract: We describe a lattice generation method that is exact, i.e. it satisfies all the natural properties we would want from a lattice of alterna- tive transcriptions of an utterance. This method does not introduce substantial overhead above one-best decoding. Our method is most directly applicable when using WFST decoders where the WFST is “fully expanded”, i.e. where the arcs correspond to HMM transi- tions. It outputs lattices that include HMM-state-level alignments as well as word labels. The general idea is to create a state-level lattice during decoding, and to do a special form of determinization that retains only the best-scoring path for each word sequence. This spe- cial determinization algorithm is a solution to the following problem: Given a WFST A, compute a WFST B that, for each input-symbol- sequence of A, contains just the lowest-cost path through A.
Keywords:
Projects Idiap
Authors Povey, Daniel
Hannemann, Mirko
Boulianne, Gilles
Burget, Lukas
Ghoshal, Arnab
Janda, Milos
Karafiat, Martin
Kombrink, Stefan
Motlicek, Petr
Qian, Yanmin
Riedhammer, Korbinian
Vesely, Karel
Vu, Ngoc Thang
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  • Povey_ICASSP_2012.pdf
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