whisper-small-dialect-classifier-cross Open-source Dialect Classification Model - Accurately Identify and Classify Specific Dialect Speech

Whisper Small Dialect Classifier Cross

Developed by yaygomii

This model is a dialect classifier based on the whisper-small architecture, designed to recognize and classify speech inputs of specific dialects.

Audio Classification

Transformers

Open Source License:Apache-2.0 #Dialect Classification #High Accuracy #Speech Recognition

Downloads 53

Release Time : 4/13/2024

Model Overview

This model is a fine-tuned dialect classifier based on the whisper-small architecture, specifically designed for recognizing and classifying speech inputs of specific dialects.

Model Features

High Accuracy

Achieved 100% accuracy on the evaluation set, demonstrating excellent performance.

Low Loss Value

The validation loss is only 0.0010, indicating that the model fits well on the training data.

Based on whisper-small Architecture

Utilizes the powerful speech processing capabilities of the whisper-small architecture for dialect classification.

Model Capabilities

Dialect Classification

Speech Recognition

Use Cases

Speech Processing

Dialect Recognition

Identify the dialect type in speech input.

Achieved 100% accuracy on the evaluation set.

Property	Details
Model Type	Fine - tuned version of yaygomii/whisper-small-ta-fyp
Training Data	Unknown
Metrics	Accuracy

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0056	1.0	548	0.0010	1.0

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Whisper Small Dialect Classifier Cross

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 whisper-small-dialect-classifier-cross

🚀 Quick Start

📚 Documentation

Model Details

Training Procedure

Training Hyperparameters

Training Results

Framework Versions

📄 License