deepspeech_scorer / README.md
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DeepSpeech Scorer for Icelandic 22.06
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Authors : Carlos Daniel Hernández Mena ([email protected]).
Language : Icelandic.
Recommended use : speech recognition.
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Description
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"DeepSpeech Scorer for Icelandic 22.06" is a scorer suitable for recognizers
based on the Mozilla's DeepSpeech recognizer [1]. A "scorer" is a single file
used to perform language modeling. It is composed of two sub-components, a
KenLM language model and a trie data structure containing all words in the
vocabulary [2].
This scorer was originally created to be used with the following DeepSpeech
recipe, developed by the Language and Voice Lab (LVL) at Reykjavík University
in 2022:
https://github.com/cadia-lvl/samromur-asr/tree/d5_samromur/d5_samromur
Nevertheless, due to the flexibility of this kind of resources and their
possible application in other tasks, systems or code recipes; it was
decided to publish this resource as an independent item.
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The Language Model
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The language model was created using the Icelandic Gigaword Corpus [3]. The
Gigaword corpus contains text from newspaper articles, parliamentary speeches,
adjudications, books, transcribed radio/television news and more. The
normalization process of the sentences utilized to generate the language
model includes to allowing only characters belonging to the Icelandic alphabet,
expanding numbers and abbreviations, and removing punctuation marks [4]. The
resulting text has a length of more than 44 million lines of text (5.3GB
approximately), and it was used to create the scorer.
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Citation
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When publishing results based on the models please refer to:
Mena, Carlos; "DeepSpeech Scorer for Icelandic 22.06". Web Download.
Reykjavik University: Language and Voice Lab, 2022.
Contact: Carlos Mena ([email protected])
License: CC BY 4.0
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Acknowledgements
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This initiative was funded by the Language Technology Programme for Icelandic
2019-2023. The programme, which is managed and coordinated by Almannarómur,
is funded by the Icelandic Ministry of Education, Science and Culture.
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References
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[1] Amodei, D., Ananthanarayanan, S., Anubhai, R., Bai, J., Battenberg,
E., Case, C., ... & Zhu, Z. (2016, June). Deep speech 2: End-to-end
speech recognition in english and mandarin. In International conference
on machine learning (pp. 173-182). PMLR.
[2] Mozilla's DeepSpeech online documentation:
https://deepspeech.readthedocs.io/en/r0.9/Scorer.html
[3] Steingrímsson, S., Helgadóttir, S., Rögnvaldsson, E., Barkarson, S.,
& Guðnason, J. (2018, May). Risamálheild: A very large Icelandic text
corpus. In Proceedings of the Eleventh International Conference on
Language Resources and Evaluation (LREC 2018).
[4] Nikulásdóttir, A. B., Helgadóttir, I. R., Pétursson, M., & Guðnason,
J. (2018, May). Open ASR for Icelandic: Resources and a baseline system.
In Proceedings of the Eleventh International Conference on Language
Resources and Evaluation (LREC 2018).
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