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Gestures and utterances are useful factors in communication. A gesture or an utterance has different meanings depending on related objects, situation and so on. Authors aim that a system recognizes these interactions' meanings and provides a service considering related objects. Proposed system combines gesture recognition and speech recognition as multimodal interaction, and manages the database with...
In this paper we propose two alternatives to overcome the natural asynchrony of modalities in Audio-Visual Speech Recognition. We first investigate the use of asynchronous statistical models based on Dynamic Bayesian Networks with different levels of asynchrony. We show that audio-visual models should consider asynchrony within word boundaries and not at phoneme level. The second approach to the problem...
Motivated by humans' ability to lipread, the visual component is considered to yield information in the speech recognition system. The lip-reading is the perception of the speech purely based on observing the talker lip movements. The major difficulty of the lip- reading system is the extraction of the visual speech descriptors. In fact, to ensure this task it is necessary to carry out an automatic...
Ubiquitous computing enables the construction of "smart spaces" where the computational infrastructure is integrated with the physical surroundings in order to allow users to interact with computers in seamless and unobtrusive ways. Computer outreach to the physical world is achieved through sensors and actuators, which could be limiting. In this work, we propose the use of intelligent robots...
It is a fact that human emotions are expressed in the voice as well as on the face. Early studies showed that combining these two modalities could improve the recognition accuracy. In this paper we have extensively researched the available audio and video based emotion recognition techniques as well as bimodal techniques and then combined the audio features and video features using a rule-based technique...
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