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  license: mit
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  license: mit
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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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+ ---
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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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+ ---
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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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+ ---
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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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dialect_classifier_model.pth ADDED
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+ size 786469490