The openSMILE feature extration tool enables you to extract large audio feature spaces in realtime. It combines features from Music Information Retrieval and Speech Processing. SMILE is an acronym forSpeech & Music Interpretation by Large-space Extraction. It is written in C++ and is available as both a standalone commandline executable as well as a dynamic library. The main features of openSMILE are its capability of on-line incremental processing and its modularity. Feature extractor components can be freely interconnected to create new and custom features, all via a simple configuration file. New components can be added to openSMILE via an easy binary plugin interface and a comprehensive API.
The key features of the openSMILE toolkit are:
For a complete description of openSMILE’s features please read the openSMILE book. It contains a detailed and most up-to-date description of all the components that are currently included in the toolkit.
Another good resource is the on-line help of the commandline feature extractor. Type SMILExtract -H to get help on using it.
openSMILE is maintained by audEERING since 2013. Version 2.0 and above are distributed free of charge for research and personal use under the terms of the openSMILE research only open-source license.
For commercial use, we provide individualised, flexible commercial licensing options for any project size and budget. We also offer ready-to-use speech analysis services and software products based on our proprietary extensions to the openSMILE core. Expert technical support is also available to help you get started and integrate openSMILE in your developments quickly. Contact us today to receive your customized offer and talk about your possibilities!
Also see our products page to learn about proprietary extensions to openSMILE, such as advanced signal processing and new acoustic features, networking support and distributed processing, android client/server integration, pre-trained models, and intelligent voice activity detection.
The brand new release of openSMILE 2.3 is now available (Oct. 28th 2016). It can be downloaded here as tar.gz and here as .zip. Version 2.3 includes Android JNI integration, an updated configuration file interface, a batch feature extraction GUI for Windows, improved backwards compatibility, an updated version of the ComParE 2013-2015 baseline acoustic parameter set, as well as several bugfixes and performance improvements.
The preview release for openSMILE 2.2 is now available (Oct. 2nd 2015). This is the first release which contains the configuration files for the first release of the Geneva Minimalistic Acoustic Parameter Set (GeMAPS). Binaries for Linux (statically linked, no Portaudio support) are included with the package. Builds for windows and android will follow in the final release. Download: openSMILE-2.2rc1 (as tar.gz file) and here as zip file.
The current stable version of openSMILE is 2.1 (released Dec. 23rd 2014). You can download the full package, including source, binaries for Windows, Linux, and Android here as tar.gz for Unix/Linux/Mac and here as .zip for Windows (Note that both packages have the same content, only the compressed format is different).
The previous release is openSMILE-2.0-rc1, available here.
The latest version of openSMILE is version 2.1 – to be released Dec 5th 2014. We will provide pre-compiled binaries:
The source code will also available for download. Linux build files (automake) and Windows (Visual Studio 2010) [soon] build files are included and supported.
Older releases are provided here only for archival purposes and older projects. These are not supported any more. The 2.x series should be used in new developments and research.
openSMILE’s architecture and usage is well documented in the openSMILE book (available electronically as PDF). The book is included with every release in the doc/ folder.
For version 2.1, we have published an additional tutorial in ACM SIGMM records.
Detailed and extensive theoretical descriptions of the implemented algorithms and concepts can be found in Florian Eyben’s doctoral thesis “Real-time Speech and Music Classification by Large Audio Feature Space Extraction” available at Springer. This is a must-have book for everyone who works with openSMILE and wants to get more insight into the theoretical descriptions of the feature extraction algorithms.
Full Installation and usage instructions are provided in the book. Here are quick-Install instructions for the impatient:
If you use openSMILE in your research, please cite the following paper for version 2.x and above:
Florian Eyben, Felix Weninger, Florian Gross, Björn Schuller: “Recent Developments in openSMILE, the Munich Open-Source Multimedia Feature Extractor”, In Proc. ACM Multimedia (MM), Barcelona, Spain, ACM, ISBN 978-1-4503-2404-5, pp. 835-838, October 2013. doi:10.1145/2502081.2502224
For older work based on openSMILE version 1.0.1 and below, you may cite this paper:
Florian Eyben, Martin Wöllmer, Björn Schuller: “openSMILE – The Munich Versatile and Fast Open-Source Audio Feature Extractor”, In Proc. ACM Multimedia (MM), ACM, Florence, Italy, ACM, ISBN 978-1-60558-933-6, pp. 1459-1462, October 2010. doi:10.1145/1873951.1874246
We are always happy to hear what people are using openSMILE for. Thus, we would appreciate it, if you would send us a brief note with a reference to your paper, and/or a brief description of your work.
Be sure to check the FAQ and Known-issues section if you have problems with running or installing openSMILE. Be sure to read and understand the documentation in the openSMILE book before you contact us for support.
If you cannot find an answer to your problem in any of these resources or you have found a bug, please contact Florian Eyben via e-mail (fe at audeering . com). If you need commercial support for openSMILE, please contact us at info at audeering.com and a include a brief description of your project. We will get back to you shortly.
openSMILE’s development has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 211486 (SEMAINE) in years 2008-2010.