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@@ -328,6 +328,17 @@ This project showcases an iterative approach to deep learning model development:
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Each iteration provided insights that informed the next development phase, ultimately leading to the best-performing model with a **50.5%** accuracy on this challenging 8-class task.
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## Future Development
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While the current Simplified Model achieves strong results at 50.5% accuracy, this represents an ongoing research effort rather than a final solution. Future work will focus on:
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- Exploring more advanced feature extraction techniques
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- Investigating multimodal approaches combining audio and text features
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- Testing larger transformer architectures with additional pretraining
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- Implementing continual learning methods to improve performance over time
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This repository will be regularly updated with newer and better models as research progresses.
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