audeering/opensmile
The Munich Open-Source Large-Scale Multimedia Feature Extractor
This toolkit helps researchers and developers working with audio data to extract meaningful information from speech and music. You provide raw audio files, and it processes them to output features like speaker identity, emotional content, or musical tempo. This is ideal for academics or engineers developing systems for tasks like automatic speech recognition or music analysis.
787 stars.
Use this if you need to extract detailed, low-level features from audio recordings for research or application development in speech or music analysis.
Not ideal if you need a high-level audio classification tool without needing to delve into feature extraction, or if you require commercial use without purchasing a license.
Stars
787
Forks
97
Language
C++
License
—
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
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