@inproceedings{chakmakjian-wang-2022-towards,
title = "Towards a Unified {ASR} System for the {A}rmenian Standards",
author = "Chakmakjian, Samuel and
Wang, Ilaine",
editor = "Khurshudyan, Victoria and
Tomeh, Nadi and
Nouvel, Damien and
Donabedian, Anaid and
Vidal-Gorene, Chahan",
booktitle = "Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.digitam-1.6/",
pages = "38--42",
abstract = "Armenian is a traditionally under-resourced language, which has seen a recent uptick in interest in the development of its tools and presence in the digital domain. Some of this recent interest has centred around the development of Automatic Speech Recognition (ASR) technologies. However, the language boasts two standard variants which diverge on multiple typological and structural levels. In this work, we examine some of the available bodies of data for ASR construction, present the challenges in the processing of these data and propose a methodology going forward."
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<abstract>Armenian is a traditionally under-resourced language, which has seen a recent uptick in interest in the development of its tools and presence in the digital domain. Some of this recent interest has centred around the development of Automatic Speech Recognition (ASR) technologies. However, the language boasts two standard variants which diverge on multiple typological and structural levels. In this work, we examine some of the available bodies of data for ASR construction, present the challenges in the processing of these data and propose a methodology going forward.</abstract>
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%0 Conference Proceedings
%T Towards a Unified ASR System for the Armenian Standards
%A Chakmakjian, Samuel
%A Wang, Ilaine
%Y Khurshudyan, Victoria
%Y Tomeh, Nadi
%Y Nouvel, Damien
%Y Donabedian, Anaid
%Y Vidal-Gorene, Chahan
%S Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F chakmakjian-wang-2022-towards
%X Armenian is a traditionally under-resourced language, which has seen a recent uptick in interest in the development of its tools and presence in the digital domain. Some of this recent interest has centred around the development of Automatic Speech Recognition (ASR) technologies. However, the language boasts two standard variants which diverge on multiple typological and structural levels. In this work, we examine some of the available bodies of data for ASR construction, present the challenges in the processing of these data and propose a methodology going forward.
%U https://aclanthology.org/2022.digitam-1.6/
%P 38-42
Markdown (Informal)
[Towards a Unified ASR System for the Armenian Standards](https://aclanthology.org/2022.digitam-1.6/) (Chakmakjian & Wang, DigitAm 2022)
ACL
- Samuel Chakmakjian and Ilaine Wang. 2022. Towards a Unified ASR System for the Armenian Standards. In Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference, pages 38–42, Marseille, France. European Language Resources Association.