Finnish dialect identification: The effect of audio and text

M Hämäläinen, K Alnajjar, N Partanen… - arxiv preprint arxiv …, 2021 - arxiv.org
Finnish is a language with multiple dialects that not only differ from each other in terms of
accent (pronunciation) but also in terms of morphological forms and lexical choice. We …

Enhancement of spoken digits recognition for under-resourced languages: case of Algerian and Moroccan dialects

K Lounnas, M Abbas, M Lichouri, M Hamidi… - International Journal of …, 2022 - Springer
In this paper, we present a set of experiments aiming to improve the recognition of spoken
digits for under-resourced dialects of the Maghrebi region, using a hybrid system. Indeed …

Analysis and modeling of dialect information in Ao, a low resource language

M Tzudir, P Sarmah, SR Prasanna - … Journal of the Acoustical Society of …, 2021 - pubs.aip.org
Ao is a Tibeto-Burman language spoken in Nagaland, India. It is a low resource, tonal
language with three lexical tones, namely, high, mid, and low. However, tone assignment on …

North S\'{a} mi Dialect Identification with Self-supervised Speech Models

S Kakouros, K Hiovain-Asikainen - arxiv preprint arxiv:2305.11864, 2023 - arxiv.org
The North S\'{a} mi (NS) language encapsulates four primary dialectal variants that are
related but that also have differences in their phonology, morphology, and vocabulary. The …

Under-resourced dialect identification in Ao using source information

M Tzudir, S Baghel, P Sarmah… - The Journal of the …, 2022 - pubs.aip.org
This paper reports the findings of an automatic dialect identification (DID) task conducted on
Ao speech data using source features. Considering that Ao is a tone language, in this study …

[PDF][PDF] Prosodic Information in Dialect Identification of a Tonal Language: The case of Ao.

M Tzudir, P Sarmah, SRM Prasanna - Interspeech, 2022 - isca-archive.org
Dialect identification has been explored profusely in major languages, such as Arabic,
Chinese and Spanish. This paper presents an automatic dialect identification system in the …

Korean dialect identification based on intonation modeling

J Lee, K Kim, M Chung - 2021 24th Conference of the Oriental …, 2021 - ieeexplore.ieee.org
Korean dialect identification (K-DID) is a challenging task due to its relatively unexplored
field of study, mutual comprehensibility between the dialects, and lack of sufficient Korean …

A Feature Engineering Approach for Literary and Colloquial Tamil Speech Classification using 1D-CNN

M Nanmalar, SJ Joysingh, P Vijayalakshmi… - arxiv preprint arxiv …, 2024 - arxiv.org
In ideal human computer interaction (HCI), the colloquial form of a language would be
preferred by most users, since it is the form used in their day-to-day conversations. However …

Dialect Identification in Ao Using Modulation-Based Representation

M Tzudir, R Sadashiv TN, A Agarwal… - … Conference on Speech …, 2023 - Springer
This paper presents an automatic dialect identification in Ao using modulation-based
approach. Ao is a low-resource, Tibeto-Burman tonal language spoken in Nagaland, a North …

Comparative analysis of majority language influence on North Sámi prosody using WaveNet-based modeling

K Hiovain, A Suni, S Kakouros… - Language and …, 2022 - journals.sagepub.com
The Finnmark North Sámi is a variety of North Sámi language, an indigenous, endangered
minority language spoken in the northernmost parts of Norway and Finland. The speakers of …