audeering/opensmile-python
Python package for openSMILE
This project helps researchers and developers working with audio data to extract specific acoustic features that are important for analyzing human speech, emotion, or other sound characteristics. You input audio files, and it outputs tables of numerical features like pitch, energy, and spectral properties. This is primarily used by scientists, machine learning engineers, and signal processing experts in fields like affective computing, speech recognition, and bioacoustics.
307 stars.
Use this if you need to extract standardized, high-quality acoustic features from audio for research or machine learning model development, especially for speech and emotion analysis.
Not ideal if you need a simple audio player, editor, or general-purpose sound analysis tool for non-technical users.
Stars
307
Forks
40
Language
BitBake
License
—
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
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