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- W199859123 abstract "In this work, we describe a speaker identification system that uses multiple supplementary information sources for computing a combined match score for the unknown speaker. Each speaker profile in the database consists of multiple feature vector sets that can vary in their scale, dimensionality, and the number of vectors. The evidence from a given feature set is weighted by its reliability that is set in a priori fashion. The confidence of the identification result is also estimated. The system is evaluated with a corpus of 110 Finnish speakers. The evaluated feature sets include mel-cepstrum, LPC-cepstrum, dynamic cepstrum, long-term averaged spectrum of /A/ vowel, and F0." @default.
- W199859123 created "2016-06-24" @default.
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- W199859123 date "2003-09-01" @default.
- W199859123 modified "2023-09-26" @default.
- W199859123 title "On the fusion of dissimilarity-based classifiers for speaker identification" @default.
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- W199859123 doi "https://doi.org/10.21437/eurospeech.2003-721" @default.
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