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Reactive Statistical Mapping: Towards the Sketching of Performative Control with Data
[chapter]
2014
IFIP Advances in Information and Communication Technology
This paper presents the results of our participation to the ninth eNTERFACE workshop on multimodal user interfaces. Our target for this workshop was to bring some technologies currently used in speech recognition and synthesis to a new level, i.e. being the core of a new HMM-based mapping system. The idea of statistical mapping has been investigated, more precisely how to use Gaussian Mixture Models and Hidden Markov Models for realtime and reactive generation of new trajectories from inputted
doi:10.1007/978-3-642-55143-7_2
fatcat:ewdc5fk33zbe5dgpon6jtaznju