feature extraction from speech signals
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Updated
Nov 2, 2024 - Jupyter Notebook
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pathological-speech
Here are 5 public repositories matching this topic...
Python package for the extraction of speech features for sustained phonation
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Aug 10, 2020 - Jupyter Notebook
Official source code of the paper: "Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson’s Diagnosis"
speech-analysis pathological-speech interpretable-deep-learning cross-attention self-supervised-speech
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Dec 4, 2024 - Jupyter Notebook
Extracted ComParE features using OpenSMILE tool and MFCC features from scratch from the pathological dataset 2 and performed classification using both features and compared them.
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Nov 25, 2020 - Jupyter Notebook
The effect of speech pathology on automatic speaker verification
deep-learning pytorch speaker-recognition speaker-verification speech-processing clp pathological-speech ge2e dysarthria
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Nov 23, 2023 - Python
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