Systematic literature review of dialectal Arabic: identification and detection
It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …
Speech recognition challenge in the wild: Arabic MGB-3
This paper describes the Arabic MGB-3 Challenge-Arabic Speech Recognition in the Wild.
Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on …
Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on …
Convolutional neural networks and language embeddings for end-to-end dialect recognition
Dialect identification (DID) is a special case of general language identification (LID), but a
more challenging problem due to the linguistic similarity between dialects. In this paper, we …
more challenging problem due to the linguistic similarity between dialects. In this paper, we …
[PDF][PDF] Dialect classification using acoustic and linguistic features in Arabic speech
Speech dialects refer to linguistic and pronunciation variations in the speech of the same
language. Automatic dialect classification requires considerable acoustic and linguistic …
language. Automatic dialect classification requires considerable acoustic and linguistic …
An investigation of domain adaptation in speaker embedding space for speaker recognition
Speaker recognition continues to grow as a research challenge in the field with expanded
application in commercial, forensic, educational and general speech technology interfaces …
application in commercial, forensic, educational and general speech technology interfaces …
Assessing child communication engagement and statistical speech patterns for American English via speech recognition in naturalistic active learning spaces
R Lileikyte, D Irvin, JHL Hansen - Speech Communication, 2022 - Elsevier
Assessing child growth in terms of speech and language development is a critical indicator
of long term learning ability and life-long development progress. The earlier a child who is at …
of long term learning ability and life-long development progress. The earlier a child who is at …
Cross-domain adaptation of spoken language identification for related languages: The curious case of slavic languages
BM Abdullah, T Avgustinova, B Möbius… - arXiv preprint arXiv …, 2020 - arxiv.org
State-of-the-art spoken language identification (LID) systems, which are based on end-to-
end deep neural networks, have shown remarkable success not only in discriminating …
end deep neural networks, have shown remarkable success not only in discriminating …
On the Robustness of Arabic Speech Dialect Identification
P Sullivan, AR Elmadany, M Abdul-Mageed - arXiv preprint arXiv …, 2023 - arxiv.org
Arabic dialect identification (ADI) tools are an important part of the large-scale data
collection pipelines necessary for training speech recognition models. As these pipelines …
collection pipelines necessary for training speech recognition models. As these pipelines …
Unsupervised representation learning of speech for dialect identification
In this paper, we explore the use of a factorized hierarchical variational autoencoder
(FHVAE) model to learn an unsupervised latent representation for dialect identification …
(FHVAE) model to learn an unsupervised latent representation for dialect identification …
Yet Another Model for Arabic Dialect Identification
A Kulkarni, H Aldarmaki - arXiv preprint arXiv:2310.13812, 2023 - arxiv.org
In this paper, we describe a spoken Arabic dialect identification (ADI) model for Arabic that
consistently outperforms previously published results on two benchmark datasets: ADI-5 and …
consistently outperforms previously published results on two benchmark datasets: ADI-5 and …