[PDF][PDF] The I4U submission to the 2016 NIST speaker recognition evaluation
The I4U's submission to SRE'16 was a result from the collaboration and active exchange of
information among researchers across sixteen Institutes and Universities across 4
continents. The submitted results were based on the fusion of multiple classifiers. A lot of
efforts have been devoted to two major challenges, namely, test duration variability and
dataset shift from Switchboard and Mixer corpora to the new Call My Net dataset.
information among researchers across sixteen Institutes and Universities across 4
continents. The submitted results were based on the fusion of multiple classifiers. A lot of
efforts have been devoted to two major challenges, namely, test duration variability and
dataset shift from Switchboard and Mixer corpora to the new Call My Net dataset.
Abstract
The I4U’s submission to SRE’16 was a result from the collaboration and active exchange of information among researchers across sixteen Institutes and Universities across 4 continents. The submitted results were based on the fusion of multiple classifiers. A lot of efforts have been devoted to two major challenges, namely, test duration variability and dataset shift from Switchboard and Mixer corpora to the new Call My Net dataset.
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