| ---
|
| 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
|
| ---
|
|
|
| # 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.
|
|
|
| ---
|
|
|
| ## **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).
|
|
|
| ---
|
|
|
| ## **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**
|
|
|
| ---
|
|
|
| ## **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.
|
|
|
| ---
|
|
|
|
|
