AI model for speech disorder detection
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Updated
Sep 7, 2022 - Python
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speech-disorder-detection
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This repository contains a machine learning-based classification system for detecting speech disorders from acoustic and spectrogram features. It includes data preprocessing, feature extraction, and various classification models such as logistic regression, SVM, random forest, and CNNs.
machine-learning deep-learning scikit-learn cnn pytorch spectrogram feature-engineering mfcc audio-processing medical-information clinical-research medical-informatics acoustic-features bioacoustics healthcare-ai speech-disorder-detection openai-whisper neurological-disease
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Mar 5, 2025 - Python
This is the code belonged to the team working on the project in CCCN lab, Bangkok. This code is open to the public use with permission to primary author. Citation to the attached paper is required for all further publications.
machine-learning speech-recognition logistic-regression digital-medicine translational-medcine dysarthria speech-disorder speech-disorder-detection
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Feb 17, 2026 - Jupyter Notebook
python machine-learning jupyter-notebook speech-recognition pca-analysis unsupervised-learning speech-disorder-detection
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Dec 27, 2022 - Jupyter Notebook
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