About: Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder     Goto   Sponge   NotDistinct   Permalink

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Description
  • The paper presents a method for incorporation of regular grammars into n-gram language models. Such composite model then benefits from both language modeling formalisms - a grammar yields robust probability estimates for well-defined phrases with fixed structure whereas the n-gram provides better coverage of casual speech. Moreover, the grammar allows adding new words to the phrase pattern while taking advantage of the existing structural (context) information. The proposed method for grammar incorporation allows the use of combined models in our in-house real-time decoder which is designed to work only with standard n-gram language model. The performance of the combined model was tested in the dictation task where a simple grammar was designed for date entries. A statistically significant improvement of WER was achieved.
  • The paper presents a method for incorporation of regular grammars into n-gram language models. Such composite model then benefits from both language modeling formalisms - a grammar yields robust probability estimates for well-defined phrases with fixed structure whereas the n-gram provides better coverage of casual speech. Moreover, the grammar allows adding new words to the phrase pattern while taking advantage of the existing structural (context) information. The proposed method for grammar incorporation allows the use of combined models in our in-house real-time decoder which is designed to work only with standard n-gram language model. The performance of the combined model was tested in the dictation task where a simple grammar was designed for date entries. A statistically significant improvement of WER was achieved. (en)
Title
  • Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder
  • Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder (en)
skos:prefLabel
  • Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder
  • Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder (en)
skos:notation
  • RIV/49777513:23520/08:00500705!RIV10-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2C06020)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 365495
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/08:00500705
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • language modeling; n-gram; grammar; real-time; LVCSR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9E7BB427D6E7]
http://linked.open...v/mistoKonaniAkce
  • Peking, Čína
http://linked.open...i/riv/mistoVydani
  • Beijing
http://linked.open...i/riv/nazevZdroje
  • 9th International Conference on Signal Processing Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Ircing, Pavel
  • Pražák, Aleš
  • Psutka, Josef
  • Švec, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000270665400144
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-2178-7
http://localhost/t...ganizacniJednotka
  • 23520
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