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SPIDER: A continuous speech light decoder
2013
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
In this paper, we propose a speech decoder, called SPeech lIght decoDER (SPIDER), for extracting the best decoding hypothesis from a search space constructed using weighted finite-state transducers. Despite existence of many speech decoders, these decoders are quite complicated as they take into consideration many design goals, such as extraction of N-best decoding hypotheses and generation of lattices. This makes it difficult to learn these decoders and test new ideas in speech recognition
doi:10.1109/apsipa.2013.6694217
dblp:conf/apsipa/AbdelhamidAM13
fatcat:q4jaceig2vhzngdcsvuowe4wxy