This paper presents a vowel-based dialect identification system for Meeteilon. For this work,
a vowel dataset is created by using Meeteilon Speech Corpora available at Linguistic Data …

This paper presents a vowel-based dialect identification system for Meeteilon. For this work,
a vowel dataset is created by using Meeteilon Speech Corpora available at Linguistic Data …

Assamese, spoken by the inhabitants of Assam in the northeastern region of India, belongs
to the larger Indo-European language family. The Indo-European language family includes …

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 …

A dialect identification system for Manipuri using deep-stacked autoencoder-based speech
features has been presented in this paper. For this work, Manipuri speech corpora have …

The goal of this work is the identification of spoken data in four Assamese dialects: Eastern,
Central, Kamrupia, and Goalporia. The research aims to enhance technology accessibility …

Labeling speech in an audio file with appropriate dialect labels is the aim of a dialect
identification system. This paper presents a method of using convolution neural networks …

The goal of a dialect Identification is to label speech in an audio file with dialect labels. This
paper presents a method for automatically identifying four Assamese dialects: Central …

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 …

Objective: Accurate dialect identification technique helps in improving the speech
recognition systems that exist in most of the present day electronic devices and is also …