Incremental Lattice Determinization for WFST Decoders

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)(2019)

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摘要
We introduce a lattice determinization algorithm that can operate incrementally. That is, a word-level lattice can be generated for a partial utterance and then, once we have processed more audio, we can obtain a word-level lattice for the extended utterance without redoing all the work of lattice determinization. This is relevant for ASR decoders such as those used in Kaldi, which first generate a state-level lattice and then convert it to a word-level lattice using a determinization algorithm in a special semiring. Our incremental determinization algorithm is useful when word-level lattices are needed prior to the end of the utterance, and also reduces the latency due to determinization at the end of the utterance.
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关键词
ASR,WFST,Lattice,Determinization,Incremental,Latency
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