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---
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license: mit
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language:
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- as
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base_model:
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- openai/whisper-medium
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---
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# Assamese Dialect Classification Model
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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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---
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## **Model Purpose**
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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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---
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## **Dialects Recognized**
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The model is trained to recognize the following four dialects of the Assamese language:
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1. **Darangia**
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2. **Kamrupia**
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3. **Nalbaria**
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4. **Upper Assam**
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---
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## **Training Dataset**
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The model was trained on a dataset of 300 speech samples, curated to include diverse speakers, phrases, and dialect features. The dataset includes:
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- **Diverse Data**: Various accents, speaker genders, and age groups.
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- **Metadata**: Information about speaker age, gender, district, and speech duration.
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- **Common Phrases**: Speech samples based on frequently used phrases in Assamese.
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---
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