{"id":13430828,"url":"https://github.com/audeering/opensmile","last_synced_at":"2025-06-10T22:14:09.060Z","repository":{"id":41494674,"uuid":"304339469","full_name":"audeering/opensmile","owner":"audeering","description":"The Munich Open-Source Large-Scale Multimedia Feature Extractor","archived":false,"fork":false,"pushed_at":"2023-10-19T14:48:04.000Z","size":10998,"stargazers_count":586,"open_issues_count":32,"forks_count":75,"subscribers_count":19,"default_branch":"master","last_synced_at":"2024-10-28T10:03:09.745Z","etag":null,"topics":["audio","feature-extraction","machine-learning"],"latest_commit_sha":null,"homepage":"https://audeering.github.io/opensmile/","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/audeering.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-10-15T13:44:10.000Z","updated_at":"2024-10-27T18:35:32.000Z","dependencies_parsed_at":"2023-10-17T16:45:15.086Z","dependency_job_id":null,"html_url":"https://github.com/audeering/opensmile","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audeering%2Fopensmile","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audeering%2Fopensmile/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audeering%2Fopensmile/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audeering%2Fopensmile/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/audeering","download_url":"https://codeload.github.com/audeering/opensmile/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audeering%2Fopensmile/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259160062,"owners_count":22814513,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["audio","feature-extraction","machine-learning"],"created_at":"2024-07-31T02:00:58.184Z","updated_at":"2025-06-10T22:14:09.038Z","avatar_url":"https://github.com/audeering.png","language":"C++","funding_links":[],"categories":["C++"],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg width=\"50%\" src=\"doc/sphinx/_static/images/openSMILE-logoSlogan-color.svg\" /\u003e\u003c/p\u003e\n\n[![Latest release](https://img.shields.io/github/v/release/audeering/opensmile)](https://github.com/audeering/opensmile/releases/latest)\n[![Latest release date](https://img.shields.io/github/release-date/audeering/opensmile)](https://github.com/audeering/opensmile/releases/latest)\n[![All releases](https://img.shields.io/github/downloads/audeering/opensmile/total)](https://github.com/audeering/opensmile/releases)\n[![Documentation](https://img.shields.io/badge/docs-3.0-informational)](https://audeering.github.io/opensmile/)\n\n**openSMILE** (**open**-source **S**peech and **M**usic **I**nterpretation by **L**arge-space **E**xtraction)\nis a complete and open-source toolkit for audio analysis, \nprocessing and classification especially targeted at speech and \nmusic applications, e.g. automatic speech recognition, speaker identification,\nemotion recognition, or beat tracking and chord detection.\n\nIt is written purely in C++, has a fast, efficient, and flexible architecture, \nand runs on desktop, mobile, and embedded platforms such as Linux, Windows, macOS, Android, iOS\nand Raspberry Pi.\n\nSee also the standalone\n[opensmile](https://github.com/audeering/opensmile-python) Python package\nfor an easy-to-use wrapper if you are working in Python.\n\nWhat's new\n----------\n\nPlease see our [blog post](https://www.audeering.com/introducing-opensmile-3-0/) on audeering.com for a summary of the new features in version 3.0.\n\nQuick start\n-----------\n\nPre-built x64 binaries for Windows, Linux, and macOS are provided on the [Releases](https://github.com/audeering/opensmile/releases) page. Alternatively, you may follow the steps below to build openSMILE yourself, if desired.\n\nFor more details on how to customize builds, build for other platforms, and use\nopenSMILE, see Section [Get started](https://audeering.github.io/opensmile/get-started.html)\nin the documentation.\n\n### Linux/MacOS\n\nPrerequisites:\n- A version of gcc and g++ or Clang needs to be installed that supports C++11.\n- CMake 3.5.1 or later needs to be installed and in the PATH.\n\n1. In ``build_flags.sh``, set build flags and options as desired.\n2. Run ``bash build.sh``.\n\nBuild files will be generated in the ``./build`` subdirectory.\nYou can find the main SMILExtract binary in ``./build/progsrc/smilextract``.\n\n### Windows\n\nPrerequisites:\n- Visual Studio 2017 or higher with C++ components is required.\n- CMake 3.15 or later needs to be installed and in the PATH.\n\n1. In ``build_flags.ps1``, set build flags and options as desired.\n2. Run ``powershell -ExecutionPolicy Bypass -File build.ps1``.\n\nBuild files will be generated in the ``./build`` subdirectory.\nYou can find the main SMILExtract.exe binary in ``./build/progsrc/smilextract``.\n\nDocumentation\n-------------\n\nYou can find extensive documentation with step-by-step instructions on how to build \nopenSMILE and get started at https://audeering.github.io/opensmile/.\n\nHistory\n-------\n\nThe toolkit was first developed at the Institute for Human-Machine \nCommunication at the Technische Universität München in Munich, Germany.\nIt was started within the SEMAINE EU-FP7 research project.\nThe toolkit is now owned and maintained \nby [audEERING GmbH](https://audeering.com), who provide intelligent\naudio analysis solutions, automatic speech emotion recognition,\nand paralinguistic speech analysis software packages as well as\nconsulting and development services on these topics.\n\nContributing and Support\n------------------------\n\nWe welcome contributions! For feedback and technical support, \nplease use the [issue tracker](https://github.com/audeering/opensmile/issues).\n\nLicensing\n---------\n\nopenSMILE follows a dual-licensing model. Since the main goal of the project \nis widespread use of the software to facilitate research in the field of \nmachine learning from audio-visual signals, the source code, and binaries are \nfreely available for private, research, and educational use under an open-source license\n(see [LICENSE](LICENSE)).\nIt is not allowed to use the open-source version of openSMILE for any sort of commercial product.\nFundamental research in companies, for example, is permitted, but if a product is the result of \nthe research, we require you to buy a commercial development license. \nContact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.\n\nOriginal authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller  \nCopyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany  \nCopyright © 2013-2015, audEERING UG (haftungsbeschränkt)  \nCopyright © 2016-2023, audEERING GmbH\n\nCiting\n------\n\nPlease cite openSMILE in your publications by citing the following paper:\n\n\u003e Florian Eyben, Martin Wöllmer, Björn Schuller: \"openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor\", Proc. ACM Multimedia (MM), ACM, Florence, Italy, ISBN 978-1-60558-933-6, pp. 1459-1462, 25.-29.10.2010.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faudeering%2Fopensmile","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faudeering%2Fopensmile","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faudeering%2Fopensmile/lists"}