EmotionML: Overview on IRs: Content
Status of EmotionML Spec
Overview potentially non-implemented features
Overview Implementers
ALMA
C# library
EMLPy
EMO20Q
Gtrace
Mary TTS
Nviso
Speechalyzer
Wasabi
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EmotionML: Overview on Implementation Reports
Status: Last call working draft
Collecting Implementation Reports and answering public
feedback
By now 9 IRs were submitted, one is announced (TUMunich) but will come too late (end of year)
The core of the spec was implemented, but some elements
are in danger (following slide)
We’re in the process of waiting for extensions to implement
missing features
There’s also a common journal publication planned under
the lead of Edmon Begoli
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EmotionML: Features in danger
There’s two implementations, that support action-tendency and
appraisal-set, but don’t check the names against the vocab, which is
required.
Implementers promised to deliver till end of month
There’s only one implementation so far for the time-stuff taken from
EMMA, i.e. start, end, duration, time-ref-uri, offset-to-start.
Because we declared these “at risk”, it should be ok to keep them in the spec.
There are two implementations that use “media-type” (416), but both
don’t check if it’s a valid mime-type, which is an required assertion
(417).
The implementers are notified and try t implement this, although it’s unclear which
mime-type vocab to check
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EmotionML: IR submitting institutions
Telekom Innovation Laboratories
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EmotionML IR: Alma
DFKI
http://www.dfki.de/~gebhard/alma/
ALMA: A Layered Model of Affect.
is a computational model for the
real-time simulation of three basic
affect types
The ALMA system is an affect
producing system.
It outputs EmotionML
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EmotionML IR: C# Library
Univ. of Chemnitz
https://github.com/gfobe/Emotion
ML-Lib-CSharp
Master’s thesis at the Univ. of
Chemnitz
Open source project at Github
Used in “Smiley ontology”
EmotionML C# library used to
describe Emoticons in IRC chat
protocol services
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EmotionML IR: EMLPy
Oak Ridge National
Laboratory/University of
Tennessee
https://github.com/ebegoli/EMLPy
a Python based library for
generation of EmotionML
compliant documents.
Open source with Github
ultimately (and distantly) using
EmotionML to help autistic
children with alternative
representations of emotional
content in the material.
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EmotionML IR: EMO20Q
USC-SAIL
http://sail.usc.edu/emo20q/
a experimental framework for
studying how people describe
emotions in language
and how computers can simulate
this type of verbal behavior.
Open source
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EmotionML IR: Gtrace
Queen’s Univ. Belfast
http://mary.dfki.de/
Software to trace emotional
expression in videos.
The system currently implements
tracing for category and
dimensional descriptors.
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EmotionML IR: Mary TTS
DFKI
http://mary.dfki.de/
MARY is an open-source,
multilingual Text-to-Speech
Synthesis platform that includes
modules for expressive speech
synthesis.
Particularly the support for both
categorical and dimensional
representations of emotions is
important to its expressive speech
synthesis system MARY TTS.
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EmotionML IR: NViso
nViso
http://nviso.ch
nViso 3D Facial Imaging API is an
online service for recognition
emotions depicted through facial
expressions in still images and
videos.
The focus of this implementation
of EmotionML is on using the
media type and URI time for
video.
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EmotionML IR: Speechalyzer
Deutsche Telekom Laboratories
https://github.com/dtagdbu/speechalyzer
Analysis / annotation /
transcription tool “Speechalyzer”
Open Source project in Github
Can be used to rapidly judge large
number of audio files emotionally.
Automatic classification
integrated.
Uses EmotionML as exchange
format.
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EmotionML IR: Wasabi
Univ. of Freiburg
https://github.com/CBA2011
WASABI architecture for affect
simulation
Applied to the articulated
communicator Max of the Univ. of
Bielefeld
To let the WASABI architecture
seamlessly interface with other
software modules, a standard
interface such as EmotionML is
indispensable.
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