What is Python pyaudioanalysis?

Check out paura a Python script for realtime recording and analysis of audio data pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract audio features and representations (e.g. mfccs, spectrogram, chromagram) Perform supervised segmentation (joint segmentation - classification)

What are the features of pyaudio analysis?

These features include a variety of signal processing nomenclature and are briefly described in the table provided by the PyAudio Analysis wiki below: The rate of sign changes of the signal during the duration of a particular frame. The sum of squares of the signal values, normalized by the respective frame length.

How do I install pyaudioanalysis?

Install using pip: pip install -e . pyAudioAnalysis provides easy-to-call wrappers to execute audio analysis tasks. Eg, this code first trains an audio segment classifier, given a set of WAV files stored in folders (each folder representing a different class) and then the trained classifier is used to classify an unknown audio WAV file

Why is pyaudioanalysis a high-level programming language?

Python, as a high-level programming language, introduces a high execution overhead (related to C for example), mainly due to its dynamic type functionalities and its interpreted execution. pyAudioAnalysis has managed to partly overcome this issue, mainly through taking advantage of the optimized vectorization functionalities provided by Numpy.