Finite-state super transducers for compact language resource representation in edge voice-AI-Reference-Cited by-同舟云学术

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

Published:2022-06-23 Issue:1 Volume:10 Page:636-644
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Dobrišek Simon¹^ORCID,Golob Žiga²,Žganec Gros Jerneja²^ORCID

Affiliation:

1. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

2. Alpineon Research and Development Ltd., Ljubljana, Slovenia

Funder

Slovenian Research Agency

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2022.2089930

Reference35 articles.

1. OpenFst: A General and Efficient Weighted Finite-State Transducer Library

2. Beilharz, B., Sun, X., Karimova, S. & Riezler, S. (2020). LibriVoxDeEn: A corpus for German-to-English speech translation and German speech recognition. In Proceedings of the 12th Language Resources and Evaluation Conference (pp. 3590–3594). European Language Resources Association. https://aclanthology.org/2020.lrec-1.441

3. Edge Container for Speech Recognition

4. Bičan, A. (2022, March). Phonological corpus of Czech. Retrieved May 9, 2022, from Czech Language Institute, Czech Academy of Sciences: https://ujc.avcr.cz/phword/

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