Skip to content
BranchesTags

Repository files navigation

openSMILE Python

Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license

Python interface for extracting openSMILE features.

$ pip install opensmile

Note

Only 64-bit Python is supported.

Feature sets

Currently, three standard sets are supported. ComParE 2016 is the largest with more than 6k features. The smaller sets GeMAPS and eGeMAPS come in variants v01a, v01b and v02 (only eGeMAPS). We suggest to use the latest version unless backward compatibility with the original papers is desired.

Each feature set can be extracted on two levels:

  • Low-level descriptors (LDD)
  • Functionals

For ComParE 2016 a third level is available:

  • LLD deltas

Note

Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output as deltas. This was corrected with v2.0.0 and these features are now correctly returned as LLDs. Note that with v2.0.0 deltas are no longer available for the GeMAPS family.

The following table lists the number of features for each set and level.

With v2.0.0

Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88

Note

Additional feature sets have been added by the community. For a full list please see the documentation of opensmile.FeatureSet.

Pre v2.0.0

Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88

Code example

Code example, that extracts ComParE 2016 functionals from an audio file:

importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')

License

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). It is not allowed to use the open-source version of openSMILE for any sort of commercial product. Fundamental research in companies, for example, is permitted, but if a product is the result of the research, we require you to buy a commercial development license. Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.

Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller

Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany

Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)

Copyright © 2016-2020, audEERING GmbH

Citing

Please cite openSMILE in your publications by citing the following paper:

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.

About

Python package for openSMILE

audeering.github.io/opensmile-python/

Topics

audiofeature-extractionmachine-learning

Resources

Readme
License

Contributing

Contributing
Activity
Custom properties

Stars

333 stars

Watchers

8 watching

Forks

42 forks
Report repository

Releases

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - audeering/opensmile-python: Python package for openSMILE · GitHub
Skip to content
BranchesTags
Repository files navigation
openSMILE Python
Test statuscode coverageopensmile's documentationopensmile's supported Python versionsopensmile's audEERING license
Python interface for extracting openSMILE features.
$ pip install opensmile

Note
Only 64-bit Python is supported.
Feature sets
Currently, three standard sets are supported.
ComParE 2016 is the largest with more than 6k features.
The smaller sets GeMAPS and eGeMAPS
come in variants v01a, v01b and v02 (only eGeMAPS).
We suggest to use the latest version
unless backward compatibility with
the original papers is desired.
Each feature set can be extracted on two levels:
  • Low-level descriptors (LDD)
  • Functionals
For ComParE 2016 a third level is available:
  • LLD deltas
Note
Pre v2.0.0 some LLDs of the GeMAPS family were incorrectly output
as deltas. This was corrected with v2.0.0 and these features are now
correctly returned as LLDs. Note that with v2.0.0 deltas are no
longer available for the GeMAPS family.
The following table lists the number of features
for each set and level.
With v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a18 / - / 62
GeMAPSv01b18 / - / 62
eGeMAPSv01a23 / - / 88
eGeMAPSv01b23 / - / 88
eGeMAPSv0225 / - / 88
Note
Additional feature sets have been added by the community.
For a full list please see the documentation of opensmile.FeatureSet.
Pre v2.0.0
Name#features
ComParE_201665 / 65 / 6373
GeMAPSv01a5 / 13 / 62
GeMAPSv01b5 / 13 / 62
eGeMAPSv01a10 / 13 / 88
eGeMAPSv01b10 / 13 / 88
Code example
Code example,
that extracts ComParE 2016 functionals from an audio file:
importopensmilesmile=opensmile.Smile(
feature_set=opensmile.FeatureSet.ComParE_2016,
feature_level=opensmile.FeatureLevel.Functionals,
)
y=smile.process_file('audio.wav')
License
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).
It is not allowed to use the open-source version of openSMILE for any sort of commercial product.
Fundamental research in companies, for example, is permitted, but if a product is the result of
the research, we require you to buy a commercial development license.
Contact us at info@audeering.com (or visit us at https://www.audeering.com) for more information.
Original authors: Florian Eyben, Felix Weninger, Martin Wöllmer, Björn Schuller
Copyright © 2008-2013, Institute for Human-Machine Communication, Technische Universität München, Germany
Copyright © 2013-2015, audEERING UG (haftungsbeschränkt)
Copyright © 2016-2020, audEERING GmbH
Citing
Please cite openSMILE in your publications by citing the following paper:

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.
About
Python package for openSMILE
audeering.github.io/opensmile-python/
Topics
audiofeature-extractionmachine-learning
Resources
Readme
License
Contributing
Contributing
Activity
Custom properties
Stars
333 stars
Watchers
8 watching
Forks
42 forks
Report repository
Releases
Contributors
Languages