M

Mms 300m Arabic Dialect Identifier

Developed by badrex
This model is fine-tuned from MMS-300m for Arabic dialect speech recognition, capable of identifying Modern Standard Arabic and four major Arabic dialects.
Downloads 73
Release Time : 3/4/2025

Model Overview

The model is fine-tuned on diverse Arabic TV broadcast speech data to recognize Modern Standard Arabic (MSA) and four major Arabic dialects (Egyptian, Gulf, Levantine, and Maghrebi).

Model Features

Multi-dialect Support
Capable of recognizing Modern Standard Arabic and four major Arabic dialects
Robustness
Performs well on datasets with challenges like background noise and channel mismatch
Fine-tuned Pre-trained Model
Fine-tuned from the facebook/mms-300m model, leveraging the advantages of large-scale pre-training

Model Capabilities

Arabic Dialect Identification
Speech Classification
Multi-dialect Speech Processing

Use Cases

Speech Data Processing
Dialect Speech Data Collection
Serves as a component in large-scale speech data collection workflows to create resources for different Arabic dialects
MSA Speech Data Filtering
Used to filter speech data in Modern Standard Arabic (MSA)
Can be used to develop text-to-speech (TTS) systems
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase