{"repo":"audeering/opensmile","free":true,"listed":false,"github":"https://github.com/audeering/opensmile","clone":"git clone https://github.com/audeering/opensmile.git","description":"The Munich Open-Source Large-Scale Multimedia Feature Extractor","language":"C++","stars":845,"topics":["machine-learning","feature-extraction","audio"],"license":null,"category":"machine-learning","readme_excerpt":"openSMILE ( open -source S peech and M usic I nterpretation by L arge-space E xtraction) is a complete and open-source toolkit for audio analysis, processing and classification especially targeted at speech and music applications, e.g. automatic speech recognition, speaker identification, emotion recognition, or beat tracking and chord detection. It is written purely in C++, has a fast, efficient, and flexible architecture, and runs on desktop, mobile, and embedded platforms such as Linux, Windows, macOS, Android, iOS and Raspberry Pi. See also the standalone opensmile Python package for an easy-to-use wrapper if you are working in Python. What's new ---------- Please see our blog post on audeering.com for a summary of the new features in version 3.0. Quick start ----------- Pre-built x64 binaries for Windows, Linux, and macOS are provided on the Releases page. Alternatively, you may follow the steps below to build openSMILE yourself, if desired. For more details on how to customize builds, build for other platforms, and use openSMILE, see Section Get started in the documentation. Linux/MacOS Prerequisites: - A version of gcc and g++ or Clang needs to be installed that supports C++11. - CMake 3.5.1 or later needs to be installed and in the PATH. 1. In build flags.sh , set build flags and options as desired. 2. Run bash build.sh . Build files will be generated in the ./build subdirectory. You can find the main SMILExtract binary in ./build/progsrc/smilextract . Windows Prerequ","default_branch":null,"files":null,"tree":[],"storefront":"/r/audeering","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/audeering/opensmile/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}