Finnish dialect identification: The effect of audio and text
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 …
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
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 …
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
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 …
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 …
related but that also have differences in their phonology, morphology, and vocabulary. The …
Under-resourced dialect identification in Ao using source information
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 …
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.
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 …
Chinese and Spanish. This paper presents an automatic dialect identification system in the …
Korean dialect identification based on intonation modeling
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 …
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
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 …
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
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 …
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 …
minority language spoken in the northernmost parts of Norway and Finland. The speakers of …