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openSMILE 3.0 - audEERING
https://www.audeering.com/research/opensmile/
openSMILE (open-source Speech and Music Interpretation by Large-space Extraction) is an open-source toolkit for audio feature extraction and classification of speech and music signals. openSMILE is widely applied in automatic emotion recognition for affective computing. openSMILE is completely free to use for research purposes.
About openSMILE — openSMILE Documentation
https://audeering.github.io/opensmile/about.html
By using the PortAudio 1 library, openSMILE supports platform-independent live audio input and live audio playback, enabling the extraction of audio features in real-time. To facilitate interoperability, openSMILE supports reading and writing of various data formats commonly used in the field of data mining and machine learning.
openSMILE download | SourceForge.net
https://sourceforge.net/projects/opensmile/
openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.
Opensmile: the munich versatile and fast open-source …
https://dl.acm.org/doi/10.1145/1873951.1874246
Opensmile: the munich versatile and fast open-source audio feature extractor Pages 1459–1462 ABSTRACT References Index Terms Comments ABSTRACT We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and the Music Information Retrieval communities.
(PDF) openSMILE -- The Munich Versatile and Fast Open ...
https://www.researchgate.net/publication/224929655_openSMILE_--_The_Munich_Versatile_and_Fast_Open-Source_Audio_Feature_Extractor
Even though openSMILE’s primarily intended area of use is audio feature extraction, it is principally modality inde- pendent, e.g. physiological features such as heart rate, EEG, or …
opensmile - PyPI
https://pypi.org/project/opensmile/
openSMILE follows a dual-licensing model. Since the main goal of the project is a widespread use of the software to facilitate research in the field of machine learning from audio-visual signals, the source code and binaries are freely available for private, research, and educational use under an open-source license (see LICENSE).
audio - How to create custom config files in OpenSMILE ...
https://stackoverflow.com/questions/43555779/how-to-create-custom-config-files-in-opensmile
Due to the architecture of openSMILE, which is centered on incremental processing of all audio features, there is (at least not yet) no easy syntax to define the features you want. Rather, you define the processing chain by adding components: data sources will read in data (from audio files, csv files, or microphone, for example),
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