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Low-dimensional bottleneck features for on-device continuous speech recognition

  • MIT Media Lab
  • Google AI

Research output: Contribution to journal › Conference article › peer-review

Original languageEnglish
Pages (from-to)3456-3459
Number of pages4
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2019-September
DOIs
StatePublished - 2019
Externally publishedYes
Event20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 - Graz, Austria
Duration: Sep 15 2019 → Sep 19 2019

ASJC Scopus Subject Areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modeling and Simulation

Keywords

  • Bottleneck features
  • Large vocabulary continuous speech recognition
  • Low-power deep learning
  • Mobile

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