Detect alcohol induced intoxication level from a voice sample
Sickness Detection with 80% Val Accuracy. Trained on (25% of available train data~5GB for 'Pfizer Digital Medicine Challenge'). Reached to accuracy of 80% in this Demo/Prototype
Texture Segmentation using: Gray-Level Co-occurence Matrix, Leung-Malik (LM) Filter Bank and Schmid (S) Filter Bank and Local Binary Pattern.
This description will one day recognize you as you read this :D #SpeakerRecognition
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