Olivier Thyes

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Gaussian Mixture Models (GMMs) have been successfully applied to the tasks of speaker ID and verification when a large amount of enrolment data is available to characterize client speakers ([1],[10],[11]). However, there are many applications where it is unreasonable to expect clients to spend this much time training the system. Thus, we have been exploring(More)
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