Finite-state super transducers for compact language resource representation in edge voice-AI

Simon Dobrišek, Žiga Golob, Jerneja Žganec Gros

Open source

DOI: 10.1080/21642583.2022.2089930
Published: 2022-06-23
Container: Systems Science & Control Engineering
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/21642583.2022.2089930,
  title = {Finite-state super transducers for compact language resource representation in edge voice-AI},
  author = {Simon Dobrišek and Žiga Golob and Jerneja Žganec Gros},
  year = {2022},
  journal = {Systems Science \&amp; Control Engineering},
  doi = {10.1080/21642583.2022.2089930},
  url = {https://doi.org/10.1080/21642583.2022.2089930}
}

RIS

TY  - JOUR
TI  - Finite-state super transducers for compact language resource representation in edge voice-AI
AU  - Simon Dobrišek
AU  - Žiga Golob
AU  - Jerneja Žganec Gros
PY  - 2022
JO  - Systems Science &amp; Control Engineering
DO  - 10.1080/21642583.2022.2089930
UR  - https://doi.org/10.1080/21642583.2022.2089930
ER  -

APA

Dobrišek, S., Golob, Ž., & Gros, J. Ž. (2022). Finite-state super transducers for compact language resource representation in edge voice-AI. Systems Science & Control Engineering. https://doi.org/10.1080/21642583.2022.2089930

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crossref · retrieved 2026-09-25T22:22:40.882Z