pyAudioAnalysis

Integrates feature extraction, classification, segmentation, and regression in one library, as shown by the wide range of tasks like MFCCs, speaker diarization, and emotion recognition detailed in the key features.

Provides simple Python functions and command-line tools for complex tasks, such as training classifiers with a few lines of code, as demonstrated in the audio classification example using SVM.

Includes a detailed wiki, external articles, and tutorials (e.g., on HackerNoon) that guide users from basics to advanced topics, making it accessible for learning and implementation.

Backed by a peer-reviewed publication and maintained by a principal researcher, ensuring methodological reliability and suitability for scientific applications, as cited in the README.