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Fig. 1. Orchestrator within the MixedEmotions Toolbox.

Figure 1 Orchestrator within the MixedEmotions Toolbox.

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A SHORT LIST OF AVAILABLE EMOTION ANALYZER SERVICES FOR T(EXTUAL), F(ACIAL), AND S(PEECH) CONTENTS. TABLE I
A SHORT LIST OF AVAILABLE EMOTION ANALYZER SERVICES FOR T(EXTUAL), F(ACIAL), AND S(PEECH) CONTENTS. TABLE I
MODELS FOR EMOTION DETECTION FROM TEXT.
MODELS FOR EMOTION DETECTION FROM TEXT.
B. Audio Processing This module recogniz es emotions in terms of arousal and valence from speech signals!*. It is based on the Bag- of-Audio-Words (BoAW) approach [62], trained on continu- ous emotionally labeled RECOLA is an audio-v data (the RECOLA database [63]). isual database of 46 subjects during dyadic conversation in French. For each subject, a recording of 5 minutes length has been annotated time-continuously for Arousal and Valence dimensions by six different annotators (3 female, 3 male). From the 6 annotations, a single gold standard sequence has been computed for each dimension, using an evaluator weighted estimator [64].
B. Audio Processing This module recogniz es emotions in terms of arousal and valence from speech signals!*. It is based on the Bag- of-Audio-Words (BoAW) approach [62], trained on continu- ous emotionally labeled RECOLA is an audio-v data (the RECOLA database [63]). isual database of 46 subjects during dyadic conversation in French. For each subject, a recording of 5 minutes length has been annotated time-continuously for Arousal and Valence dimensions by six different annotators (3 female, 3 male). From the 6 annotations, a single gold standard sequence has been computed for each dimension, using an evaluator weighted estimator [64].
>ERFORMANCE (CCC) OF THE AUDIO EMOTION RECOGNITION MODULE ON THE RECOLA DATABASE. To make the power of the histogram independent from the duration of the input segment, a histogram normalization is performed. The whole BoAW-processing is accomplished by the open-source toolkit openXBOW!> [68].
>ERFORMANCE (CCC) OF THE AUDIO EMOTION RECOGNITION MODULE ON THE RECOLA DATABASE. To make the power of the histogram independent from the duration of the input segment, a histogram normalization is performed. The whole BoAW-processing is accomplished by the open-source toolkit openXBOW!> [68].
Linked Data principles have been investigated to define pro- tocols and approaches to link the information of these sources to each other [86]. In the MixedEmotions Toolbox, the JSON Linked-Data (JSON-LD) format has been used for this task (Section HI-D1). The use of linked data formats allows us to easily connect resources to common sense knowledge captured in knowledge graphs such as DBpedia [50] (Section IIJ-D2).
Linked Data principles have been investigated to define pro- tocols and approaches to link the information of these sources to each other [86]. In the MixedEmotions Toolbox, the JSON Linked-Data (JSON-LD) format has been used for this task (Section HI-D1). The use of linked data formats allows us to easily connect resources to common sense knowledge captured in knowledge graphs such as DBpedia [50] (Section IIJ-D2).
Fig. 2. Knowledge Graph module architecture.
Fig. 2. Knowledge Graph module architecture.
Fig. 3. Architecture of the Social Context Analysis module ‘Scanner’.
Fig. 3. Architecture of the Social Context Analysis module ‘Scanner’.
Related topics:
EngineeringComputer ScienceHuman Computer InteractionLinked DataAffective ComputingAudio ProcessingEmotion Analysis
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