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OpenSMILE: History, Applications & Companies

openSMILE is source-available software for automatic extraction of features from audio signals and for classification of speech and music signals. "SMILE" stands for "Speech & Music Interpretation by Large-space Extraction". The software is mainly applied in the area of automatic emotion recognition and is widely used in the affective computing research…

Language: English [EN]
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OpenSMILE topic overview

The analysis highlights History, Applications and Companies as prominent areas in the source structure around OpenSMILE.

Related topics
16
Source areas
3
Connected nodes
19
Extracted relationships
36
Concept neighborhoods
8
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Application Areas · 6 topics
History · 6 topics
Overview · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Application Areas

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.

How OpenSMILE connects Entity context

The extracted context around OpenSMILE shows recurring relationship patterns in the source. For example, OpenSMILE → Affect Recognition, Björn Schuller, EAR, Emotion, European Union, Florian Eyben, In, Martin Wöllmer, Munich, SEMAINE, Technical University, The Another extracted example is OpenSMILE → AVEC, EmotiW, Examples, In, Interspeech ComParE, MediaEval, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

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

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

OpenSMILE relationships Subject–Predicate–Object triples

TTTA extracted 36 structured relationships around OpenSMILE. Examples in this analysis include OpenSMILE → Developer → audEERING GmbH and OpenSMILE → License → Source-available, proprietary. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
OpenSMILEDeveloperaudEERING GmbH1.00infobox
OpenSMILELicenseSource-available, proprietary1.00infobox
OpenSMILEPlatformLinux, macOS, Windows, Android, iOS1.00infobox
OpenSMILEReleaseSeptember 2010; 15 years ago (2010-09)1.00infobox
OpenSMILEStable release3.0.1 / January 4, 2022; 4 years ago (2022-01-04)1.00infobox
OpenSMILETypeMachine learning1.00infobox
OpenSMILEWebsiteaudeering.com1.00infobox
OpenSMILEWritten inC++1.00infobox
Interspeech ComParEinstance ofand genre.The openSMILE toolkit serves as benchmark in manifold research competitions0.80text
AVECinstance ofand genre.The openSMILE toolkit serves as benchmark in manifold research competitions0.80text
MediaEvalinstance ofand genre.The openSMILE toolkit serves as benchmark in manifold research competitions0.80text
and EmotiWinstance ofand genre.The openSMILE toolkit serves as benchmark in manifold research competitions0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around OpenSMILE bring nearby vocabulary together. In this analysis, examples include Speech, Research and Emotion. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • OpenSMILE
    • Speech
    • Research
    • Emotion
    • Recognition
    • Software
    • Toolkit
    • Music
    • Source-available
    • Automatic
    • Com
    • Gmbh
    • Openear
  • opensmile
    • Speech
    • Research
    • Emotion
    • Recognition
    • Software
    • Toolkit
    • Music
    • Source-available
    • Automatic
    • Com
    • Gmbh
    • Openear
  • automatic speech recognition
    • Recognition
    • Software
    • Music
    • Well
    • Classification
    • Emotion
    • Openear
    • Applied
    • Based
    • Toolkit
    • Speech
    • Opensmile
  • source-available
    • Audeering
    • License
    • Gmbh
    • Research
    • Company
    • Speech
    • Com
    • Commercial
    • Order
    • Release
    • Stands
    • Use
  • emotion recognition
    • Recognition
    • Software
    • Openear
    • Based
    • Opensmile
    • Toolkit
    • Speech
    • Com
    • Order
    • Stands
    • Tool
    • Used
  • emotion
    • Recognition
    • Openear
    • Based
    • Opensmile
    • Software
    • Toolkit
    • Speech
    • Com
    • Order
    • Stands
    • Tool
    • Used
  • audio signals
    • Source-available
    • Speech
    • Com
    • Commercial
    • Gmbh
    • Order
    • Release
    • Stands
    • Used
    • Website
    • Well
    • Audeering
  • technical university of munich
    • Technical
    • University
    • Research
    • Published
    • Semaine
    • Version
    • Source-available
    • Opensmile
    • Project

Connections between topic areas Semantic bridges

For OpenSMILE, one of the stronger structural bridges in this analysis connects OpenSMILE with Application Areas. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
OpenSMILE — Application Areas · splits 13 ⟂ 7
OpenSMILE — History · splits 13 ⟂ 7
OpenSMILE — Overview · splits 15 ⟂ 5

Map overview Semantic statistics

OpenSMILE

Nodes20
Edges19
Triples36
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around OpenSMILE to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — OpenSMILE · EN edition · Analysis: TopicsToTalkAbout

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