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hybridmodel

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This project builds a deep-learning-based heartbeat sound classification system using MFCC features and multiple models including CNN, BiLSTM, and a Hybrid CNN–BiLSTM architecture. The system detects and classifies heart sounds into normal, murmur, and artifact categories, supporting early cardiac abnormality detection.

  • Updated Dec 12, 2025
  • Jupyter Notebook

This project implements a hybrid deep learning model capable of recognizing emotions in human speech by analyzing acoustic characteristics of audio signals. Manual classification of emotions in voice recordings is time-consuming, inconsistent, and lacks scalability. This system automates this process by detecting emotions .

  • Updated Nov 9, 2025
  • Jupyter Notebook

A research project comparing Classical ML models, Hybrid LLM-embedding methods, and fine-tuned Transformers for emotion classification. The study evaluates performance on two datasets, song lyrics and GoEmotions, to analyze how model choice and dataset quality impact accuracy and generalization.

  • Updated Mar 4, 2026
  • Python

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