OpenSMILE

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Explore the main themes, entities and connections around OpenSMILE. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History

Björn Schuller Technical University of Munich European Union Social intelligence ACM Multimedia

6 related topics

Application Areas

Automatic speech recognition Emotion Depression Intoxication Chorus

6 related topics

Overview

Source-available Audio signals Emotion recognition Affective computing

4 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer: audEERING GmbH
License: Source-available, proprietary
Platform: Linux, macOS, Windows, Android, iOS
Release: September 2010; 15 years ago (2010-09)
Stable release: 3.0.1 / January 4, 2022; 4 years ago (2022-01-04)
Type: Machine learning

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Application Areas

Automatic speech recognition
Emotion
Depression Depression (mood)
Intoxication Alcohol intoxication
Chorus Refrain
Chords Chord (music)

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Nodes20

Edges19

Triples36

Avg. degree1.9

Density0.1

Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

OpenSMILE

Top relations

related to history · 12

OpenSMILE → Affect Recognition, Björn Schuller, EAR, Emotion, European Union, Florian Eyben, In, Martin Wöllmer, Munich, SEMAINE, Technical University, The

related to Application Areas · 7

OpenSMILE → AVEC, EmotiW, Examples, In, Interspeech ComParE, MediaEval, The

related to Awards · 3

OpenSMILE → ACM Multimedia Open Source, Competition, The

related to External links · 2

OpenSMILE → GitHubopenSMILE, Scholar

Developer · 1

OpenSMILE → audEERING GmbH

License · 1

OpenSMILE → Source-available, proprietary

Platform · 1

OpenSMILE → Linux, macOS, Windows, Android, iOS

Release · 1

OpenSMILE → September 2010; 15 years ago (2010-09)

Stable release · 1

OpenSMILE → 3.0.1 / January 4, 2022; 4 years ago (2022-01-04)

Type · 1

OpenSMILE → Machine learning

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

emotion software recognition automatic speech research source-available music audeering license project applied company 2013 extraction use 2010 gmbh toolkit technical

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
OpenSMILE	Developer	audEERING GmbH	1.00	infobox
OpenSMILE	License	Source-available, proprietary	1.00	infobox
OpenSMILE	Platform	Linux, macOS, Windows, Android, iOS	1.00	infobox
OpenSMILE	Release	September 2010; 15 years ago (2010-09)	1.00	infobox
OpenSMILE	Stable release	3.0.1 / January 4, 2022; 4 years ago (2022-01-04)	1.00	infobox
OpenSMILE	Type	Machine learning	1.00	infobox
OpenSMILE	Website	audeering.com	1.00	infobox
OpenSMILE	Written in	C++	1.00	infobox
Interspeech ComParE	instance of	and genre.The openSMILE toolkit serves as benchmark in manifold research competitions	0.80	text
AVEC	instance of	and genre.The openSMILE toolkit serves as benchmark in manifold research competitions	0.80	text
MediaEval	instance of	and genre.The openSMILE toolkit serves as benchmark in manifold research competitions	0.80	text
and EmotiW	instance of	and genre.The openSMILE toolkit serves as benchmark in manifold research competitions	0.80	text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

Connections between topic areas Semantic bridges

Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

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