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	<title>SSPNET &#187; Tools</title>
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	<description>A European network of excellence in social signal processing</description>
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	<p> </p><h2>Tools</h2><div class="sspnet_format">
	<item>
		<title>iBUG TAUD</title>
		<link>http://sspnet.eu/2011/09/ibug-taud/</link>
		<comments>http://sspnet.eu/2011/09/ibug-taud/#comments</comments>
		<pubDate>Sun, 25 Sep 2011 18:23:40 +0000</pubDate>
		<dc:creator>mvalstar</dc:creator>
				<category><![CDATA[Face Analysis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/09/ibug-taud/</guid>
		<description><![CDATA[ iBUG&#8217;s TAUD (Temporal-based Action Unit Detection) is the implementation of our LPQ-TOP-based AU detector. It is developed as a WIN32 executable. It includes trained models for the following AUs: AU1, AU2, AU4, AU5, AU6, AU7, AU10, AU11, AU12, AU14, AU15, AU17, AU18, AU20, AU22, AU24, AU25, AU26, AU27, AU45 and AU46. The model is trained [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/09/ibug-taud/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>iBUG Gesture Detector</title>
		<link>http://sspnet.eu/2011/09/ibug-gesture-detector/</link>
		<comments>http://sspnet.eu/2011/09/ibug-gesture-detector/#comments</comments>
		<pubDate>Sun, 25 Sep 2011 18:17:46 +0000</pubDate>
		<dc:creator>mvalstar</dc:creator>
				<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Untyped]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/09/ibug-gesture-detector/</guid>
		<description><![CDATA[ The iBUG Gesture Detector detects a number of hand gestures on frame-level. Detection is performed in both spatial and temporal domains. In the spatial domain the detector returns an estimate of the gesture center at every frame. In the temporal domain the start/end frames of the gesture are returned. Finally, the amplitude of the performed gesture [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/09/ibug-gesture-detector/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Elckerlyc</title>
		<link>http://sspnet.eu/2011/07/elckerlyc/</link>
		<comments>http://sspnet.eu/2011/07/elckerlyc/#comments</comments>
		<pubDate>Wed, 20 Jul 2011 10:17:21 +0000</pubDate>
		<dc:creator>dennisreidsma</dc:creator>
				<category><![CDATA[Elsewhere]]></category>
		<category><![CDATA[Face Synthesis]]></category>
		<category><![CDATA[Gesture Synthesis]]></category>
		<category><![CDATA[Language Synthesis]]></category>
		<category><![CDATA[Multimodal Synthesis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Voice Synthesis]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/07/elckerlyc/</guid>
		<description><![CDATA[ Elckerlyc is a BML compliant behavior realizer for generating multimodal verbal and nonverbal behavior for Virtual Humans (VHs). It is designed specifically for continuous (as opposed to turn-based) interaction with tight temporal coordination between the behavior of a VH and its interaction partners. Animation in Elckerlyc is generated using a mix between the precise temporal [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/07/elckerlyc/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Mixture of Gaussians/HMM toolbox</title>
		<link>http://sspnet.eu/2011/05/mixture-of-gaussianshmm-toolbox/</link>
		<comments>http://sspnet.eu/2011/05/mixture-of-gaussianshmm-toolbox/#comments</comments>
		<pubDate>Thu, 19 May 2011 13:33:12 +0000</pubDate>
		<dc:creator>dmjtax</dc:creator>
				<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Voice Analysis]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/05/mixture-of-gaussianshmm-toolbox/</guid>
		<description><![CDATA[ This Matlab toolbox is a simplified and bare implementation for the creation, training and evaluation of Mixture of Gaussian models and Hidden Markov Models. The Hidden Markov Models assume a Gaussian Mixture model (with a variable number of clusters) in each of the states of the HMM. Additionally, the toolbox provides the possibility to have [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/05/mixture-of-gaussianshmm-toolbox/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Active appearance models</title>
		<link>http://sspnet.eu/2011/03/active-appearance-models/</link>
		<comments>http://sspnet.eu/2011/03/active-appearance-models/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 09:19:51 +0000</pubDate>
		<dc:creator>dmjtax</dc:creator>
				<category><![CDATA[Face Analysis]]></category>
		<category><![CDATA[Face Synthesis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/active-appearance-models/</guid>
		<description><![CDATA[ This tool comprises a basic Matlab implementation of active appearance models, as well as an extension of active appearance models that has a more powerful texture models (it models texture using a mixture of PCA model). The implementation uses the inverse compositional algorithm for fitting. The implementation was developed as part of the following paper: • [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/active-appearance-models/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Hidden-Unit Conditional Random Fields</title>
		<link>http://sspnet.eu/2011/03/hidden-unit-conditional-random-fields-2/</link>
		<comments>http://sspnet.eu/2011/03/hidden-unit-conditional-random-fields-2/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 08:21:30 +0000</pubDate>
		<dc:creator>dmjtax</dc:creator>
				<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Untyped]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/hidden-unit-conditional-random-fields-2/</guid>
		<description><![CDATA[ The hidden-unit conditional random field (CRF) is a model for structured prediction that is more powerful than standard linear CRFs. The additional modeling power of hidden-unit CRFs stems from its binary stochastic hidden units that model latent data structure that is relevant to classification. The hidden units are conditionally independent given the data and the [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/hidden-unit-conditional-random-fields-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AAM-FPT Facial Point Tracker</title>
		<link>http://sspnet.eu/2011/03/aam-fpt-facial-point-tracker/</link>
		<comments>http://sspnet.eu/2011/03/aam-fpt-facial-point-tracker/#comments</comments>
		<pubDate>Sun, 20 Mar 2011 19:08:18 +0000</pubDate>
		<dc:creator>mvalstar</dc:creator>
				<category><![CDATA[Face Analysis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/aam-fpt-facial-point-tracker/</guid>
		<description><![CDATA[ The AAM-FPT (Active Appearance Model-based Facial-point Tracker) can be used to track 40 characteristic facial points. AAM-FPT consists of a hierarchy of three Active Appearance Models (AAM) and estimates the movements of the Head, Face, Eyebrows, Lips, Eyelids and Irises in 3D. Each AAM combines robust stochastic and deterministic appearance modelling with an optimised Levenberg-Marquardt Algorithm [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/aam-fpt-facial-point-tracker/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>BoRMaN</title>
		<link>http://sspnet.eu/2011/03/borman/</link>
		<comments>http://sspnet.eu/2011/03/borman/#comments</comments>
		<pubDate>Sun, 20 Mar 2011 18:59:05 +0000</pubDate>
		<dc:creator>mvalstar</dc:creator>
				<category><![CDATA[Face Analysis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/borman/</guid>
		<description><![CDATA[ The BoRMaN programme detects 20 fiducial facial points. Instead of scanning an image or image region for the location of a facial point, it can use every location in a point&#8217;s neighbourhood to predict where the target point is relative to that location. This considerably speeds up point detection. In only a few iterations the [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/borman/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Greta</title>
		<link>http://sspnet.eu/2011/03/greta/</link>
		<comments>http://sspnet.eu/2011/03/greta/#comments</comments>
		<pubDate>Fri, 18 Mar 2011 10:38:34 +0000</pubDate>
		<dc:creator>pelachaud</dc:creator>
				<category><![CDATA[Multimodal Synthesis]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[SSPNET]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/greta/</guid>
		<description><![CDATA[ Greta is a real-time three dimensional embodied conversational agent system. The agent is autonomous and expressive. Greta can express her emotional states and intentions through verbal and nonverbal behaviours, and be socially aware. Greta is Open Source. It is written in C++. The system is SAIBA compliant. The animation model follows the MPEG-4 animation standard. Two [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/greta/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MARY TTS</title>
		<link>http://sspnet.eu/2011/03/mary-tts/</link>
		<comments>http://sspnet.eu/2011/03/mary-tts/#comments</comments>
		<pubDate>Fri, 18 Mar 2011 09:50:38 +0000</pubDate>
		<dc:creator>MarcSchroeder</dc:creator>
				<category><![CDATA[Elsewhere]]></category>
		<category><![CDATA[Public]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Voice Synthesis]]></category>

		<guid isPermaLink="false">http://sspnet.eu/2011/03/mary-tts/</guid>
		<description><![CDATA[ MARY TTS is an open-source, multilingual Text-to-Speech Synthesis platform written in Java. It provides support for state-of-the-art synthesis technologies (unit selection and statistical parametric synthesis based on HMMs). A special focus is on exploring the range of options available to control the expressivity of the synthetic voice. From version 4.1.0, MARY TTS includes contributions to prosody [...] [...]]]></description>
		<wfw:commentRss>http://sspnet.eu/2011/03/mary-tts/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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