Speaker diarization system that segments and labels multi-speaker audio recordings
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Updated
Mar 7, 2026 - Python
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speechprocessing
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A machine learning system for detecting depression from audio and text inputs using advanced feature extraction and NLP techniques. Combines acoustic analysis (MFCC, spectral features) with linguistic pattern recognition for accurate predictions. Includes FastAPI REST API with real-time inference and interactive documentation.
python nlp text-classification audio-analysis machine-lea fastapi depression-detection sckit-learn mental-h speechprocessing
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Updated
May 8, 2026 - Jupyter Notebook
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