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.
python deep-learning tensorflow sound-processing lstm mfcc librosa cnn-model fourier-transform medicalai heartsound audioclassification healthcare-ai hybridmodel phonocardiogram
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Updated
Dec 12, 2025 - Jupyter Notebook