---
license: mit
language:
- as
base_model:
- openai/whisper-medium
---

# Assamese Dialect Classification Model

This repository contains a trained model for classifying Assamese dialects based on speech inputs. The model was developed to assist in identifying and understanding regional variations of the Assamese language.

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## **Model Purpose**
The purpose of this model is to classify different dialects of Assamese speech. It is useful for linguistic research, speech analysis, and creating dialect-aware applications in natural language processing (NLP) and automatic speech recognition (ASR).

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## **Dialects Recognized**
The model is trained to recognize the following four dialects of the Assamese language:
1. **Darangia**
2. **Kamrupia**
3. **Nalbaria**
4. **Upper Assam**

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## **Training Dataset**
The model was trained on a dataset of 300 speech samples, curated to include diverse speakers, phrases, and dialect features. The dataset includes:
- **Diverse Data**: Various accents, speaker genders, and age groups.
- **Metadata**: Information about speaker age, gender, district, and speech duration.
- **Common Phrases**: Speech samples based on frequently used phrases in Assamese.

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