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Vietnamese Regional Accent Classification Model

Developed by thangtrungnguyen
This is an audio classification model for classifying Vietnamese dialects, achieving an F1 score of 0.8217 on the evaluation set.
Downloads 36
Release Time : 10/7/2024

Model Overview

This model is primarily used to classify different Vietnamese dialects and is applicable in the fields of speech recognition and dialect research.

Model Features

High accuracy
Achieves an F1 score of 0.8217 on the evaluation set, demonstrating excellent performance
Multi-dialect support
Capable of identifying different Vietnamese dialects
Efficient training
Utilizes the Adam optimizer and linear learning rate scheduler for efficient training

Model Capabilities

Vietnamese dialect classification
Audio feature extraction
Speech recognition assistance

Use Cases

Speech recognition
Dialect identification system
Used to identify the Vietnamese dialect spoken by the speaker
High accuracy
Linguistic research
Dialect distribution research
Assists linguists in studying the geographical distribution of Vietnamese dialects
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