Construction of Spontaneous Emotion Corpus from Indonesian TV Talk Shows and Its Application on Multimodal Emotion Recognition
نویسندگان
چکیده
منابع مشابه
Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition
Emotional aspects play a vital role in making human communication a rich and dynamic experience. As we introduce more automated system in our daily lives, it becomes increasingly important to incorporate emotion to provide as natural an interaction as possible. To achieve said incorporation, rich sets of labeled emotional data is prerequisite. However, in Japanese, existing emotion database is ...
متن کاملMultimodal Emotion Recognition
Multimodal fusion is the process whereby two or more forms of input are gathered together in order to produce a higher overall classification accuracy than individual unimodal systems. This is a popular technique in emotion recognition. In this study, we attempted to discover how much we could improve upon individual unimodal systems using decision level fusion. To accomplish this, we acquired ...
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Speech is the primary means of communication between human beings in their day-to-day interaction with one another. Speech, if confined in meaning as the explicit verbal content of what is spoken, does not by itself carry all the information that is conveyed during a typical conversation, but is in fact nuanced and supplemented by additional modalities of information, in the form of vocalized e...
متن کاملMultimodal Emotion Recognition
Recent technological advances have enabled human users to interact with computers in ways previously unimaginable. Beyond the confines of the keyboard and mouse, new modalities for human-computer interaction such as voice, gesture, and force-feedback are emerging. Despite important advances, one necessary ingredient for natural interaction is still missing–emotions. Emotions play an important r...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2018
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2017edp7362