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acoustic-features

Here are 15 public repositories matching this topic...

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.

  • Updated Mar 5, 2025
  • Python

A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.

  • Updated Jan 20, 2025
  • Python

ToneArcLib is an open-source audio analysis library that extracts expressive and structural features from music tracks using signal processing and ML techniques. Ideal for researchers, developers, and creatives building AI-driven music tools.

  • Updated Apr 8, 2025
  • Python

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