opensmile | Munich Open-Source Large | Machine Learning library

by audeering C++ Version: v3.0.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | opensmile Summary

opensmile is a C++ library typically used in Artificial Intelligence, Machine Learning applications. opensmile has no bugs, it has no vulnerabilities and it has low support. However opensmile has a Non-SPDX License. You can download it from GitHub.

openSMILE (open-source Speech and Music Interpretation by Large-space Extraction) 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.

Support

Quality

Security

License

Reuse

Support

opensmile has a low active ecosystem.

It has 396 star(s) with 63 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 33 have been closed. On average issues are closed in 44 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of opensmile is v3.0.1

Quality

opensmile has 0 bugs and 24 code smells.

Security

opensmile has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

opensmile code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

opensmile has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

opensmile releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

It has 1350 lines of code, 120 functions and 63 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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opensmile Key Features

No Key Features are available at this moment for opensmile.

opensmile Examples and Code Snippets

No Code Snippets are available at this moment for opensmile.

Community Discussions

Trending Discussions on opensmile

How can I execute OpenSMILE toolkit from Matlab environment?

QUESTION

How can I execute OpenSMILE toolkit from Matlab environment?

Asked 2020-Sep-10 at 07:42

I want to use the OpenSMILE toolkit as a voice feature extractor. But I developed my project scripts in the Matlab environment. So, I am searching for a way to calling OpenSMILE from Matlab and handle the features obtained. I would be pleased if anybody guides me on this matter.

OpenSMILE script sample that can be executed in windows CMD environment:

...

ANSWER

Answered 2020-Sep-10 at 07:42

I found a very simple way to do this. After installing the OpenSMILE, this program can be accessed through the CMD environment. That's why I wrote the following function in MATLAB and ran OpenSMILE through it.

Source https://stackoverflow.com/questions/63801969

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install opensmile

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.

Support

You can find extensive documentation with step-by-step instructions on how to build openSMILE and get started at https://audeering.github.io/opensmile/.

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