pyAudioAnalysis
Library for audio feature extraction and machine learning applications.
Pricing
Free tier
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Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is pyAudioAnalysis?
PyAudioAnalysis is a Python library that provides tools for extracting features from audio files, performing classification tasks, and segmenting audio data. It's useful for researchers and developers working on audio processing projects requiring machine learning techniques.
Key differentiator
“PyAudioAnalysis stands out with its comprehensive set of tools for feature extraction and machine learning on audio data, making it ideal for researchers and developers who need to analyze large datasets without the overhead of setting up complex infrastructure.”
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Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The official repository lacks comprehensive tutorials and detailed explanations for many features, making it difficult to understand how to use the library effectively.
Processing long audio recordings can be slow due to inefficient memory management and lack of parallel processing capabilities, which may hinder real-time or near-real-time applications.
The library is primarily designed for research purposes with a strong emphasis on feature extraction and classification. It lacks support for more advanced audio processing tasks such as noise reduction or real-time streaming.
There are few active contributors to the project, leading to slow response times for bug reports and feature requests. The community is not very active on forums or issue trackers.
Fit analysis
Who is it for?
✓ Best for
Developers working on projects that require feature extraction from audio files using Python.
Researchers conducting studies in music information retrieval and speech processing.
✕ Not a fit for
Projects requiring real-time audio analysis, as PyAudioAnalysis is optimized for batch processing.
Applications needing a web-based interface or cloud-hosted service.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
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Next step
Get Started with pyAudioAnalysis
Step-by-step setup guide with code examples and common gotchas.