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Enhancing Arabic Dialect Detection on Social Media: A Hybrid Model with an Attention Mechanism
WMS Yafooz - Information, 2024 - mdpi.com
Recently, the widespread use of social media and easy access to the Internet have brought
about a significant transformation in the type of textual data available on the Web. This …
about a significant transformation in the type of textual data available on the Web. This …
[PDF][PDF] Assamese dialect identification using static and dynamic features from vowel
This paper introduces a novel method for identifying Assamese dialects by analyzing the
acoustic and prosodic aspects of vowel sounds in speech signals. The distinctive …
acoustic and prosodic aspects of vowel sounds in speech signals. The distinctive …
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 …
Predicting greenhouse gas fluxes in coastal salt marshes using artificial neural networks
Prediction of wetland greenhouse gas (GHG) fluxes has been a challenging undertaking.
Machine learning techniques such as the artificial neural network (ANN) has a strong …
Machine learning techniques such as the artificial neural network (ANN) has a strong …
Dialect identification using chroma-spectral shape features with ensemble technique
The present work proposes a text-independent dialect identification system. Generally,
dialects of a language exhibit varying pronunciation styles followed in a specific …
dialects of a language exhibit varying pronunciation styles followed in a specific …
Identification of four major dialects of assamese language using GMM with UBM
The Assamese language is spoken by the people of Assam, which is located in India's north-
east corner. The Indo-European language family includes the Assamese language. The …
east corner. The Indo-European language family includes the Assamese language. The …
Analyzing RMFCC feature for dialect identification in Ao, an under-resourced language
Ao is a language spoken in Nagaland in the North-East of India. It is a low-resource tone
language under the Tibeto-Burman language family. It consists of three tones, namely, high …
language under the Tibeto-Burman language family. It consists of three tones, namely, high …
Acoustic-phonetic feature based Kannada dialect identification from vowel sounds
In this paper, a dialect identification system is proposed for Kannada language using vowels
sounds. Dialectal cues are characterized through acoustic parameters such as formant …
sounds. Dialectal cues are characterized through acoustic parameters such as formant …
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 …
Recognizing five major dialects in Indonesia based on MFCC and DRNN
B Tawaqal, S Suyanto - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Dialect is a variation of the language used by a group of people, sometimes in a particular
region. It plays an essential role in automatic speech recognition (ASR). In general, an ASR …
region. It plays an essential role in automatic speech recognition (ASR). In general, an ASR …