@inproceedings{ernstreits-2024-towards,
title = "Towards the speech recognition for {L}ivonian",
author = "Ern{\v{s}}treits, Valts",
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
Pirinen, Flammie and
Macias, Melany and
Crespo Avila, Mario},
booktitle = "Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages",
month = nov,
year = "2024",
address = "Helsinki, Finland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.iwclul-1.9",
pages = "76--80",
abstract = "This article outlines the path toward the development of speech synthesis and speech recognition technologies for Livonian, a critically endangered Uralic language with around 20 contemporary fluent speakers. It presents the rationale behind the creation of these technologies and introduces the hypotheses and planned approaches to achieve this goal. The article discusses the four-stage approach of leveraging existing data and multiplying voice data through speech synthesis and voice cloning to generate the necessary data for building and training speech recognition for Livonian.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ernstreits-2024-towards">
<titleInfo>
<title>Towards the speech recognition for Livonian</title>
</titleInfo>
<name type="personal">
<namePart type="given">Valts</namePart>
<namePart type="family">Ernštreits</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2024-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages</title>
</titleInfo>
<name type="personal">
<namePart type="given">Mika</namePart>
<namePart type="family">Hämäläinen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Flammie</namePart>
<namePart type="family">Pirinen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Melany</namePart>
<namePart type="family">Macias</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mario</namePart>
<namePart type="family">Crespo Avila</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Helsinki, Finland</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This article outlines the path toward the development of speech synthesis and speech recognition technologies for Livonian, a critically endangered Uralic language with around 20 contemporary fluent speakers. It presents the rationale behind the creation of these technologies and introduces the hypotheses and planned approaches to achieve this goal. The article discusses the four-stage approach of leveraging existing data and multiplying voice data through speech synthesis and voice cloning to generate the necessary data for building and training speech recognition for Livonian.</abstract>
<identifier type="citekey">ernstreits-2024-towards</identifier>
<location>
<url>https://aclanthology.org/2024.iwclul-1.9</url>
</location>
<part>
<date>2024-11</date>
<extent unit="page">
<start>76</start>
<end>80</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Towards the speech recognition for Livonian
%A Ernštreits, Valts
%Y Hämäläinen, Mika
%Y Pirinen, Flammie
%Y Macias, Melany
%Y Crespo Avila, Mario
%S Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages
%D 2024
%8 November
%I Association for Computational Linguistics
%C Helsinki, Finland
%F ernstreits-2024-towards
%X This article outlines the path toward the development of speech synthesis and speech recognition technologies for Livonian, a critically endangered Uralic language with around 20 contemporary fluent speakers. It presents the rationale behind the creation of these technologies and introduces the hypotheses and planned approaches to achieve this goal. The article discusses the four-stage approach of leveraging existing data and multiplying voice data through speech synthesis and voice cloning to generate the necessary data for building and training speech recognition for Livonian.
%U https://aclanthology.org/2024.iwclul-1.9
%P 76-80
Markdown (Informal)
[Towards the speech recognition for Livonian](https://aclanthology.org/2024.iwclul-1.9) (Ernštreits, IWCLUL 2024)
ACL
- Valts Ernštreits. 2024. Towards the speech recognition for Livonian. In Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages, pages 76–80, Helsinki, Finland. Association for Computational Linguistics.